# 2019

K. Parameswaran; R. Devidze; V. Cevher; A. Singla :

**Interactive Teaching Algorithms for Inverse Reinforcement Learning**. 2019-08-10. The 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.K. Parameswaran; D. Rati; V. Cevher; S. Adish :

**Interactive Teaching Algorithms for Inverse Reinforcement Learning**. 2019-08-10. 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.A. A. Ozaslan; A. Alacaoglu; O. B. Demirel; T. Cukur; E. U. Saritas :

**Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging**;*Physics In Medicine And Biology*. 2019-08-01. DOI : 10.1088/1361-6560/ab3525.J. Scarlett :

**An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation**;*Information-Theoretic Methods in Data Science*; Cambridge University Press, 2019-06-12.P. Dighe; A. Asaei; H. Bourlard :

**Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling**;*Speech Communication*. 2019-05-01. DOI : 10.1016/j.specom.2019.03.004.V. Cevher; C. B. Vu; A. Yurtsever :

**Inertial Three-Operator Splitting Method and Applications**; SIAM Conference on Optimization - OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.Q. Tran-Dinh; A. Alacaoglu; O. Fercoq; V. Cevher :

**An adaptive primal-dual framework for nonsmooth convex minimization**;*Mathematical Programming Computation*. 2019. DOI : 10.1007/s12532-019-00173-3.B. Gözcü :

**Data-driven Measurement Designs for Magnetic Resonance Imaging**. Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9651.T. Yeo; P. Kamalaruban; A. Singla; A. Merchant; T. Asselborn et al. :

**Iterative Classroom Teaching**. 2019-01-01. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, Jan 27-Feb 01, 2019. p. 5684-5692.F. Locatello; A. Yurtsever; O. Fercoq; V. Cevher :

**Stochastic Frank-Wolfe for Composite Convex Minimization**. 2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.M. F. Sahin; A. Eftekhari; A. Alacaoglu; F. R. Latorre Gomez; V. Cevher :

**An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints**. 2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.F. R. Latorre Gomez; A. Eftekhari; V. Cevher :

**Fast and Provable ADMM for Learning with Generative Priors**. 2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.A. Kavis; K. Y. Levy; F. Bach; V. Cevher :

**UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization**. 2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.A. Yurtsever :

**Scalable Convex Optimization Methods for Semidefinite Programming**. Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9598.A. Eftekhari; A. Thompson :

**Sparse Inverse Problems Over Measures: Equivalence Of The Conditional Gradient And Exchange Methods**;*Siam Journal On Optimization*. 2019-01-01. DOI : 10.1137/18M1183388.A. Eftekhari; G. Ongie; L. Balzano; M. B. Wakin :

**Streaming Principal Component Analysis From Incomplete Data**;*Journal Of Machine Learning Research*. 2019-01-01.C. Liu; R. Tomioka; V. Cevher :

**On Certifying Non-Uniform Bounds against Adversarial Attacks**. 2019. 36th International Conference on Machine Learning (ICML)'2019, Long Beach, USA, June 9-15, 2019.A. Yurtsever; S. Sra; V. Cevher :

**Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator**. 2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.P. T. Y. Rolland; A. Kavis; A. Immer; A. Singla; V. Cevher :

**Efficient learning of smooth probability functions from Bernoulli tests with guarantees.**. 2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.A. Yurtsever; O. Fercoq; V. Cevher :

**A Conditional Gradient-Based Augmented Lagrangian Framework**. 2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.O. Fercoq; A. Alacaoglu; I. Necoara; V. Cevher :

**Almost surely constrained convex optimization**. 2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.T. Sanchez; B. Gözcü; R. B. van Heeswijk; E. Ilıcak; T. Çukur et al. :

**Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI**. 2019.B. Gözcü; T. Sanchez; V. Cevher :

**Rethinking Sampling in Parallel MRI: A Data-Driven Approach**. 2019.J. Scarlett; I. Bogunovic; V. Cevher :

**Overlapping Multi-Bandit Best Arm Identification**. 2019. The 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 7-12, 2019. p. 2544-2548.S. T. Yeo; K. Parameswaran; A. Singla; M. Arpit; T. L. C. Asselborn et al. :

**Iterative Classroom Teaching**. 2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, USA, January 27 – February 1, 2019. p. 5684-5692.R. Karimi Mahabadi; J. Lin; V. Cevher :

**A Learning-Based Framework for Quantized Compressed Sensing**;*IEEE Signal Processing Letters*. 2019. DOI : 10.1109/LSP.2019.2898350.I. Bogunovic :

**Robust Adaptive Decision Making: Bayesian Optimization and Beyond**. Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9147.# 2018

Y.-H. Li; V. Cevher :

**Convergence of the Exponentiated Gradient Method with Armijo Line Search**;*Journal of Optimization Theory and Applications*. 2018-12-03. DOI : 10.1007/s10957-018-1428-9.Quoc Tran-Dinh; A. Kyrillidis; V. Cevher :

**A Single-Phase, Proximal Path-Following Framework**;*Mathematics Of Operations Research*. 2018-11-01. DOI : 10.1287/moor.2017.0907.J. Lin; A. Rudy; L. Rosasco; V. Cevher :

**Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces**;*Applied and Computational Harmonic Analysis*. 2018-10-04. DOI : 10.1016/j.acha.2018.09.009.J. Scarlett; V. Cevher :

**Near-Optimal Noisy Group Testing via Separate Decoding of Items**;*IEEE Journal of Selected Topics In Signal Processing*. 2018-10-01. DOI : 10.1109/JSTSP.2018.2844818.V. Cevher; C. B. Vu :

**On the linear convergence of the stochastic gradient method with constant step-size**;*Optimization Letters*. 2018-09-25. DOI : 10.1007/s11590-018-1331-1.J. Lin; V. Cevher :

**Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms**. 2018-09-03.A. Yurtsever; O. Fercoq; F. Locatello; V. Cevher :

**A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming**. 2018-07-11. the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.K. Y. Levy; A. Yurtsever; V. Cevher :

**Online Adaptive Methods, Universality and Acceleration**. 2018-07-04. 32nd Conference on Neural Information Processing Systems conference (NIPS 2018), Montreal, Canada, December 3-8, 2018.J. Scarlett; V. Cevher :

**Near-Optimal Noisy Group Testing via Separate Decoding of Items**. 2018-06-17. IEEE International Symposium on Information Theory, Colorado, USA., June 17-22. 2018. p. 2311-2315.J. Lin; V. Cevher :

**Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods**. 2018-06-08. 35th International Conference on Machine Learning, Stockholm, Sweden, July 10 -15, 2018.J. Lin; V. Cevher :

**Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces**. 2018-03-11. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.Q. Tran Dinh; O. Fercoq; V. Cevher :

**A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization**;*SIAM Journal on Optimization*. 2018-01-11. DOI : 10.1137/16M1093094.I. Bogunovic; J. Scarlett; S. Jegelka; V. Cevher :

**Adversarially Robust Optimization with Gaussian Processes**. 2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.K. Y. Levy; A. Yurtsever; V. Cevher :

**Online Adaptive Methods, Universality and Acceleration**. 2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Y.-P. Hsieh; A. Kavis; P. Rolland; V. Cevher :

**Mirrored Langevin Dynamics**. 2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.C. Aprile; J. Wuthrich; L. Baldassarre; Y. Leblebici; V. Cevher :

**An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems**. 2018-01-01. 15th ACM International Conference on Computing Frontiers, Ischia, ITALY, May 08-10, 2018. p. 228-231. DOI : 10.1145/3203217.3203260.D. Ram; A. Asaei; H. Bourlard :

**Phonetic Subspace Features for Improved Query by Example Spoken Term Detection**;*Speech Communication*. 2018. DOI : 10.1016/j.specom.2018.07.001.Q. Tran Dinh; V. Cevher :

**Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization**;*Large-Scale and Distributed Optimization*; Springer, 2018.J. Lin; L. Rosasco :

**Generalization properties of doubly stochastic learning algorithms**;*JOURNAL OF COMPLEXITY*. 2018. DOI : 10.1016/j.jco.2018.02.004.I. Bogunovic; J. Scarlett; S. Jegelka; V. Cevher :

**Adversarially Robust Optimization with Gaussian Processes**. 2018. Conference on Neural Information Processing Systems (NIPS), Montreal, 2018.Y.-P. Hsieh; C. Liu; V. Cevher :

**Finding Mixed Nash Equilibria of Generative Adversarial Networks**. 2018. IEEE International Conference on Machine Learning (ICML)’ 2019, Long Beach, USA, June 9-15, 2019.R. Karimi Mahabadi; C. Aprile; V. Cevher :

**Real-time DCT Learning-based Reconstruction of Neural Signals**. 2018. 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy , September 3-7. 2018.C. Aprile; K. Ture; L. Baldassarre; M. Shoaran; G. Yilmaz et al. :

**Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants**. 2018. 1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, ITALY, Sep 02-03, 2018. p. 3929-3941. DOI : 10.1109/TCSI.2018.2853983.C. Aprile; J. Wüthrich; L. Baldassarre; Y. Leblebici; V. Cevher :

**An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems**. 2018. ACM International Conference on Computing Frontiers 2018, Ischia, Italy, May 8-10, 2018.C. Aprile :

**Learning-Based Hardware Design for Data Acquisition Systems**. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8693.Y.-H. Li :

**Learning without Smoothness and Strong Convexity**. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8765.M. El Halabi :

**Learning with Structured Sparsity: From Discrete to Convex and Back.**. EPFL, 2018. DOI : 10.5075/epfl-thesis-8516.B. Gözcü; R. Karimi Mahabadi; Y.-H. Li; E. Ilıcak; T. Çukur et al. :

**Learning-Based Compressive MRI**;*IEEE Transactions On Medical Imaging*. 2018. DOI : 10.1109/TMI.2018.2832540.Y.-P. Hsieh; A. Kavis; P. T. Y. Rolland; V. Cevher :

**Mirrored Langevin Dynamics**. 2018. Thirty-second Conference on Neural Information Processing Systems (NIPS), Montréal.Y.-P. Hsieh; V. Cevher :

**Dimension-free Information Concentration via Exp-Concavity**. 2018. Algorithmic Learning Theory (ALT) 2018, Lanzarote, Spain, April 7-9, 2018.I. Bogunovic; J. Zhao; V. Cevher :

**Robust Maximization of Non-Submodular Objectives**. 2018. International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, April, 9-11, 2018.P. T. Y. Rolland; J. Scarlett; I. Bogunovic; V. Cevher :

**High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups**. 2018. AISTATS, Lanzarote, Spain, April, 9-11, 2018.R. Zhao; V. Cevher :

**Stochastic Three-Composite Convex Minimization with a Linear Operator**. 2018. 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018,, Lanzarotte, Spain, April 9-11, 2018.E. Asadi Kangarshahi; Y.-P. Hsieh; M. F. Sahin; V. Cevher :

**Let’s be honest: An optimal no-regret framework for zero-sum games**. 2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.V. Q. Nguyen; S. De; J. Lin; V. Cevher :

**Chemical machine learning with kernels: The key impact of loss functions**. 2018.C. Aprile; A. Cevrero; P. A. Francese; C. Menolfi; M. Braendli et al. :

**An Eight lanes 7Gb/s/pin Source Synchronous Single-Ended RX with Equalization and Far-End Crosstalk Cancellation for Backplane Channels**;*IEEE Journal of Solid State Circuits*. 2018. DOI : 10.1109/JSSC.2017.2783679.Y.-P. Hsieh; Y.-C. Kao; R. Karimi Mahabadi; Y. Alp; A. Kyrillidis et al. :

**A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization**;*IEEE Transactions on Signal Processing*. 2018. DOI : 10.1109/TSP.2018.2870353.V. Cevher; C. B. Vu; A. Yurtsever :

**Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions**;*Stochastic Forward Douglas-Rachford Splitting Method for Monotone Inclusions*; Springer International Publishing, 2018.# 2017

J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher :

**Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data**. 2017-12-04. 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, USA, December 4-9, 2017.J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher :

**Practical Sketching Algorithms For Low-Rank Matrix Approximation**;*Siam Journal On Matrix Analysis And Applications*. 2017. DOI : 10.1137/17M1111590.S. Mitrovic; I. Bogunovic; A. Norouzi Fard; J. Tarnawski; V. Cevher :

**Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach**. 2017. Conference on Neural Information Processing Systems (NIPS), Long Beach.A. Alacaoglu; Q. Tran-Dinh; O. Fercoq; V. Cevher :

**Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization**. 2017. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, December 4-9, 2017.I. Bogunovic; S. Mitrovic; J. Scarlett; V. Cevher :

**A Distributed Algorithm for Partitioned Robust Submodular Maximization**. 2017. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).J. Scarlett; V. Cevher :

**Phase Transitions in the Pooled Data Problem**. 2017. Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.J. Scarlett; V. Cevher :

**Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework**;*IEEE Journal of Selected Topics in Signal Processing*. 2017.M. El Halabi; F. Bach; V. Cevher :

**Combinatorial Penalties: Which structures are preserved by convex relaxations?**. 2017. 21st International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarotte, Spain , April 9-11, 2017.M. El Halabi; Y.-P. Hsieh; B. Vu; Q. Nguyen; V. Cevher :

**General Proximal Gradient Method: A Case for Non-Euclidean Norms**. 2017.Q. V. Nguyen; O. Fercoq; V. Cevher :

**Smoothing technique for nonsmooth composite minimization with linear operator**;*Preprint*. 2017.I. Bogunovic; S. Mitrovic; J. Scarlett; V. Cevher :

**Robust Submodular Maximization: A Non-Uniform Partitioning Approach**. 2017. The 34th International Conference on Machine Learning (ICML), Sydney, 2017.J. Scarlett; I. Bogunovic; V. Cevher :

**Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization**. 2017. Conference on Learning Theory (COLT)Conference on Learning Theory (COLT), AmsterdamAmsterdam, Netherlands, July 2017July, 7-10, 2017.C. Aprile; J. Wüthrich; L. Baldassarre; Y. Leblebici; V. Cevher :

**DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems**. 2017. Computing Frontiers Conference 2017, Siena, Italy, May 15-17, 2017. p. 391-394. DOI : 10.1145/3075564.3078890.V. Cevher; M. Kapralov; J. Scarlett; A. Zandieh :

**An Adaptive Sublinear-Time Block Sparse Fourier Transform**. 2017. ACM Symposium on Theory of Computing (STOC), Montreal, June 19-23, 2017.D. Perekrestenko; V. Cevher; M. Jaggi :

**Faster Coordinate Descent via Adaptive Importance Sampling**. 2017. 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, USA, April 20-22, 2017.A. Yurtsever; M. Udell; J. A. Tropp; V. Cevher :

**Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage**. 2017. 20th International Conference on Artificial Intelligence and Statistics (AISTATS2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.J. Scarlett; V. Cevher :

**How little does non-exact recovery help in group testing?**. 2017. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, March 2017. p. 6090-6094.Q. Tran Dinh; A. Kyrillidis; V. Cevher :

**A single-phase, proximal path-following framework**;*Mathematics of Operations Research*. 2017.J. Scarlett; V. Cevher :

**Lower Bounds on Active Learning for Graphical Model Selection**. 2017. The 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.J. Scarlett; V. Cevher :

**Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework**;*IEEE Transactions on Information Theory*. 2017. DOI : 10.1109/TIT.2016.2606605.# 2016

A. Norouzi Fard; A. Bazzi; M. El Halabi; I. Bogunovic; Y.-P. Hsieh et al. :

**An Efficient Streaming Algorithm for the Submodular Cover Problem**. 2016. The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS).A. Yurtsever; C. B. Vu; V. Cevher :

**Stochastic Three-Composite Convex Minimization**. 2016. 30th Conference on Neural Information Processing Systems (NIPS2016), Barcelona, Spain, December 5-10, 2016.J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher :

**Randomized Single-View Algorithms for Low-Rank Matrix Approximation**. 2016.I. Bogunovic; J. Scarlett; A. Krause; V. Cevher :

**Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation**. 2016. Conference on Neural Information Processing Systems (NIPS), Barcelona, December 5-10, 2016.A. Kyrillidis; B. Bah; R. Hasheminezhad; Q. Tran Dinh; L. Baldassarre et al. :

**Convex block-sparse linear regression with expanders - provably**. 2016. The 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), Cadiz, Spain, May 7-11, 2016.N. Zerbib; Y.-H. Li; Y.-P. Hsieh; V. Cevher :

**Estimation Error of the Constrained Lasso**. 2016. 54th Annu. Allerton Conf. Communication, Control, and Computing, Monticello, IL, September 27-30, 2016.Y.-H. Li; V. Cevher :

**Learning Data Triage: Linear Decoding Works for Compressive MRI**. 2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 4034-4038.G. Odor; Y.-H. Li; A. Yurtsever; Y.-P. Hsieh; Q. Tran Dinh et al. :

**Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval**. 2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 6230-6234.C. Aprile; L. Baldassarre; V. Gupta; J. Yoo; M. Shoaran et al. :

**Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition**. 2016. 26th edition of GLSVLSI, Boston, USA, May 18-20, 2016. p. 433-438. DOI : 10.1145/2902961.2903028.I. Bogunovic; J. Scarlett; V. Cevher :

**Time-Varying Gaussian Process Bandit Optimization**. 2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9 - 11, 2016.J. Scarlett; V. Cevher :

**Partial Recovery Bounds for the Sparse Stochastic Block Model**. 2016. International Symposium on Information Theory (ISIT), Barcelona, July 10-15, 2016. p. 1904-1908.J. Scarlett; V. Cevher :

**Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices**. 2016. International Symposium on Information Theory (ISIT), Barcelona, July 10-15, 2016. p. 2868-2872.J. Scarlett; V. Cevher :

**On the Difficulty of Selecting Ising Models with Approximate Recovery**;*IEEE Transactions on Signal and Information Processing over Networks*. 2016. DOI : 10.1109/Tsipn.2016.2596439.J. Scarlett; V. Cevher :

**Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices**. 2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9-11, 2016.J. F. C. Mota; N. Deligiannis; A. C. Sankaranarayanan; V. Cevher; M. R. D. Rodrigues :

**Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction**;*IEEE Transactions on Signal Processing*. 2016. DOI : 10.1109/TSP.2016.2544744.D. Carlson; Y.-P. Hsieh; E. Collins; L. Carin; V. Cevher :

**Stochastic Spectral Descent for Discrete Graphical Models**;*IEEE Journal of Selected Topics in Signal Processing*. 2016. DOI : 10.1109/Jstsp.2015.2505684.L. Baldassarre; Y.-H. Li; J. Scarlett; B. Gözcü; I. Bogunovic et al. :

**Learning-Based Compressive Subsampling**;*IEEE Journal on Selected Topics in Signal Processing*. 2016. DOI : 10.1109/Jstsp.2016.2548442.J. Scarlett; V. Cevher :

**Phase Transitions in Group Testing**. 2016. ACM-SIAM Symposium on Discrete Algorithms (SODA), Arlington, Virginia, USA, January 10-12, 2016.J. F. C. Mota; N. Deligiannis; A. C. Sankaranarayanan; V. Cevher; M. R. D. Rodrigues :

**Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Foreground Subtraction**;*IEEE Transactions on Signal Processing*. 2016. DOI : 10.1109/TSP.2016.2544744.S. Rangan; P. Schniter; E. Riegler; A. Fletcher; V. Cevher :

**Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices**. 2016. IEEE International Symposium on Information Theory, (ISIT), Istanbul, Turkey, July 7-12 2013. p. 7464-7474. DOI : 10.1109/ISIT.2013.6620309.L. Baldassarre; N. Bhan; V. Cevher; A. Kyrillidis :

**Group-Sparse Model Selection: Hardness and Relaxations**;*IEEE Transactions on Information Theory*. 2016. DOI : 10.1109/TIT.2016.2602222.# 2015

Q. Tran Dinh; Y.-H. Li; V. Cevher :

**Composite convex minimization involving self-concordant-like cost functions**. 2015. Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015), Metz, France, May 11-13, 2015.L. Baldassarre; C. Aprile; M. Shoaran; Y. Leblebici; V. Cevher :

**Structured Sampling and Recovery of iEEG Signals**. 2015. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 13-16, 2015.A. Yurtsever; Y.-P. Hsieh; V. Cevher :

**Scalable Convex Methods for Phase Retrieval**. 2015. 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, December 13-16, 2015.G. B. Giannakis; R. Cendrillon; V. Cevher; A. Swami; Z. Tian :

**Introduction to the Issue on Signal Processing for Big Data**;*Ieee Journal Of Selected Topics In Signal Processing*. 2015. DOI : 10.1109/Jstsp.2015.2418393.J. Scarlett :

**On the Dispersions of the Gel'fand-Pinsker Channel and Dirty Paper Coding**;*IEEE Transactions on Information Theory*. 2015. DOI : 10.1109/Tit.2015.2449844.D. Carlson; E. Collins; Y.-P. Hsieh; L. Carin; V. Cevher :

**Preconditioned Spectral Descent for Deep Learning**. 2015. 29-th Neural Information Processing Systems (NIPS), 2015.J. Scarlett; V. Y. F. Tan :

**Second-Order Asymptotics for the Discrete Memoryless MAC with Degraded Message Sets**. 2015. IEEE International Symposium on Information Theory, Hong Kong.J. Scarlett; A. Martinez; A. Guillén i Fàbregas :

**Refinements of the Third-Order Term in the Fixed Error Asymptotics of Constant-Composition Codes**. 2015. IEEE International Symposium on Information Theory, Hong Kong.Q. Tran Dinh; V. Cevher :

**An optimal first-order primal-dual gap reduction framework for constrained convex optimization**. 2015.Q. Tran Dinh; V. Cevher :

**Splitting the Smoothed Primal-Dual Gap: Optimal Alternating Direction Methods**. 2015.B. Gözcü; L. Baldassarre; Q. Tran Dinh; C. Aprile; V. Cevher :

**A Primal-dual Framework For Mixtures Of Regularisers**. 2015. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, August 31 - September 4 2015.S. Satpathi; L. Baldassarre; V. Cevher :

**Sparse Group Covers and Greedy Tree Approximations**. 2015. 2015 IEEE Internation Symposium on Information Theory, Hong Kong, China, June 14-19, 2015.J. Scarlett; V. Cevher :

**Limits on Support Recovery with Probabilistic Models: An Information-Theoretic Framework**. 2015. International Symposium on Information Theory, Hong Kong, June 2015.A. Cevrero; C. Aprile; P. A. Francese; U. Bapst; C. Menolfi et al. :

**A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS**. 2015. Symposium on VLSI Circuits, Kyoto, Japan, June 15-19, 2015.Q. Tran Dinh; Y.-H. Li; V. Cevher :

**Composite convex minimization involving self-concordant-like cost functions**;*Tech. Report*. 2015.Y.-H. Li; Y.-P. Hsieh; N. Zerbib; V. Cevher :

**A Geometric View on Constrained M-Estimators**. 2015.Y.-H. Li; V. Cevher :

**Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression**. 2015. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing, Brisbane, Australia, April 19-24, 2015.J. Mota; N. Deligiannis; A. C. Sankaranarayanan; V. Cevher; M. Rodrigues :

**Dynamic Sparse State Estimation Using ℓ1-ℓ1 Minimization: Adaptive-rate Measurement Bounds, Algorithms and Applications**. 2015. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Queensland, Australia, April 19-24, 2015.A. Yurtsever; Q. Tran Dinh; V. Cevher :

**A Universal Primal-Dual Convex Optimization Framework**. 2015. 29th Annual Conference on Neural Information Processing Systems (NIPS2015), Montreal, Canada, December 7-12, 2015.I. Bogunovic; V. Cevher; J. Haupt; J. Scarlett :

**Active Learning of Self-concordant like Multi-index Functions**. 2015. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015.J. J. Bruer; J. A. Tropp; V. Cevher; S. Becker :

**Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost**;*IEEE Journal of Selected Topics in Signal Processing*. 2015. DOI : 10.1109/Jstsp.2015.2400412.S. Srivastava; V. Cevher; Q. Tran Dinh; D. B. Dunson :

**WASP: Scalable Bayes via barycenters of subset posteriors**. 2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.D. Carlson; V. Cevher; L. Carin :

**Stochastic Spectral Descent for Restricted Boltzmann Machines.**. 2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.Y.-H. Li; J. Scarlett; P. Ravikumar; V. Cevher :

**Sparsistency of $\ell_1$-Regularized $M$-Estimators**. 2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9-12, 2015.P. Boufounos; V. Cevher; A. C. Gilbert; Y. Li; M. J. Strauss :

**What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid**;*Algorithmica*. 2015. DOI : 10.1007/s00453-014-9918-0.L. Wang; J. Huang; X. Yuan; K. Krishnamurthy; J. Greenberg et al. :

**Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements**;*SIAM Journal on Imaging Sciences (SIIMS)*. 2015. DOI : 10.1137/140998779.M. El Halabi; V. Cevher :

**A totally unimodular view of structured sparsity**. 2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9 - 12, 2015.Q. Tran Dinh; A. Kyrillidis; V. Cevher :

**Composite Self-Concordant Minimization**;*Journal of Machine Learning Research*. 2015.# 2014

A. Kyrillidis; M. Vlachos; A. Zouzias :

**Approximate Matrix Multiplication with Application to Linear Embeddings**. 2014. IEEE International Symposium on Information Theory (ISIT), Honolulu, HI, JUN 29-JUL 04, 2014. p. 2182-2186.J. Parker; P. Schniter; V. Cevher :

**Bilinear Generalized Approximate Message Passing—Part II: Applications**;*IEEE Transactions on Signal Processing*. 2014. DOI : 10.1109/TSP.2014.2357773.J. Parker; P. Schniter; V. Cevher :

**Bilinear Generalized Approximate Message Passing—Part I: Derivation**;*IEEE Transactions on Signal Processing*. 2014. DOI : 10.1109/TSP.2014.2357776.V. Cevher; S. Becker; M. Schmidt :

**Convex Optimization for Big Data**;*IEEE Signal Processing Magazine*. 2014. DOI : 10.1109/MSP.2014.2329397.J. J. Bruer; J. A. Tropp; V. Cevher; S. R. Becker :

**Time–Data Tradeoffs by Aggressive Smoothing**. 2014. Conference of Neural Information Processing Systems (NIPS) Foundation 2014, Montreal, Quebec, Canada, December 8-11, 2014.H. Tyagi; V. Cevher :

**Learning non-parametric basis independent models from point queries via low-rank methods**;*Applied And Computational Harmonic Analysis*. 2014. DOI : 10.1016/j.acha.2014.01.002.A. Kyrillidis :

**Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences**. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6350.Q. Tran Dinh; V. Cevher :

**Constrained convex minimization via model-based excessive gap**. 2014. Advances in Neural Information Processing Systems (NIPS) 2014, Montreal, Quebec, Canada, December 8-11, 2014.M. El Halabi; L. Baldassarre; V. Cevher :

**MAP Estimation for Bayesian Mixture Models with Submodular Priors**. 2014. 2014 IEEE International Workshop on Machine Learning for signal processing, Reims, France, Sept 21-24, 2014.Q. Tran Dinh; I. Necoara; M. Diehl :

**Path-following gradient-based decomposition algorithms for separable convex optimization**;*Journal of Global Optimization*. 2014. DOI : 10.1007/s10898-013-0085-7.Q. Tran Dinh; V. Cevher :

**A Primal-Dual Algorithmic Framework for Constrained Convex Minimization**. 2014.A. Aravkin; S. Becker; V. Cevher; P. Olsen :

**A variational approach to stable principal component pursuit**. 2014. 30th Conference on Uncertainty in Artificial Intelligence (UAI) 2014, Quebec City, Quebeck, Canada, July 23-27, 2014.A. Kyrillidis; G. N. Karystinos :

**Fixed-Rank Rayleigh Quotient Maximization by an MPSK Sequence**;*IEEE Transactions on Communications*. 2014. DOI : 10.1109/Tcomm.2014.012414.130439.A. Kyrillidis; R. Karimi Mahabadi; Q. Tran Dinh; V. Cevher :

**Scalable sparse covariance estimation via self-concordance**. 2014. Twenty-Eighth AAAI Conference on Artificial Intelligence, Quebec, Canada, July 27-31, 2014.M. Signoretto; Q. Tran Dinh; L. De Lathauwer; J. A. K. Suykens :

**Learning with tensors: a framework based on convex optimization and spectral regularization**;*Machine Learning*. 2014. DOI : 10.1007/s10994-013-5366-3.Q. Tran Dinh; Y.-H. Li; V. Cevher :

**Barrier Smoothing for Nonsmooth Convex Minimization**. 2014. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014.B. Bah; V. Cevher; S. Becker; B. Gözcü :

**Metric Learning with Rank and Sparsity Constraints**. 2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9, 2014.A. Asaei; H. Bourlard; M. Taghizadeh; V. Cevher :

**Model-based Sparse Component Analysis for Reverberant Speech Localization**. 2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9.A. Kyrillidis; V. Cevher :

**Matrix Recipes for Hard Thresholding Methods**;*Journal Of Mathematical Imaging And Vision*. 2014. DOI : 10.1007/s10851-013-0434-7.Q. Tran Dinh; A. Kyrillidis; V. Cevher :

**An inexact proximal path-following algorithm for constrained convex minimization**;*Siam Journal On Optimization*. 2014. DOI : 10.1137/130944539.B. Bah; L. Baldassarre; V. Cevher :

**Model-based Sketching and Recovery with Expanders**. 2014. ACM-SIAM Symposium on Discrete Algorithms, Portland, Oregon, USA, January 5-7, 2014. p. 1529-1543. DOI : 10.1137/1.9781611973402.112.A. Asaei; M. Golbabaee; H. Bourlard; V. Cevher :

**Structured Sparsity Models for Reverberant Speech Separation**;*IEEE Transactions on Audio, Speech and Language Processing*. 2014. DOI : 10.1109/Taslp.2013.2297012.# 2013

N. Bhan; L. Baldassarre; V. Cevher :

**Tractability of interpretability via selection of group-sparse models**. 2013. IEEE International Symposium on Information Theory Proceedings (ISIT), 2013, Istanbul, Turkey, July 7-13, 2013. DOI : 10.1109/ISIT.2013.6620384.A. Kyrillidis; S. Becker; V. Cevher; C. Koch :

**Sparse projections onto the simplex**. 2013. The 30th International Conference on Machine Learning (ICML) 2013, Atlanta, USA, June 16-21, 2013. p. 280-288.A. Kyrillidis; V. Cevher :

**Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection**. 2013. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, BC, Canada, May 26-31, 2013. p. 6585-6589. DOI : 10.1109/ICASSP.2013.6638935.F. Debrouwere; W. Van Loock; G. Pipeleers; Q. Tran Dinh; M. Diehl et al. :

**Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming**;*Ieee Transactions On Robotics*. 2013. DOI : 10.1109/Tro.2013.2277565.M. McCoy; V. Cevher; Q. Tran Dinh; A. Asaei; L. Baldassarre :

**Convexity in source separation: Models, geometry, and algorithms**;*Signal Processing Magazine, IEEE*. 2013. DOI : 10.1109/MSP.2013.2296605.S. Villa; S. Salzo; L. Baldassarre; A. Verri :

**Accelerated And Inexact Forward-Backward Algorithms**;*Siam Journal On Optimization*. 2013. DOI : 10.1137/110844805.J. Djolonga; A. Krause; V. Cevher :

**High-Dimensional Gaussian Process Bandits**. 2013. Neural Information Processing Systems, Lake Tahoe, Nevada, December 5-8, 2013.B. Gözcü; A. Asaei; V. Cevher :

**Manifold Sparse Beamforming**. 2013. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, December 15-18, 2013. p. 113-116. DOI : 10.1109/CAMSAP.2013.6714020.M. El Halabi; L. Baldassarre; V. Cevher :

**To Convexify or Not? Regression with Clustering Penalties on Graphs**. 2013. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, December 15-18. 2013. p. 21-24. DOI : 10.1109/CAMSAP.2013.6713997.B. Bah; A. Sadeghian; V. Cevher :

**Energy-aware adaptive bi-Lipschitz embeddings**. 2013. 10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, July 1-5, 2013.A. Kyrillidis; V. Cevher :

**Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection**. 2013. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.S. Becker; V. Cevher; A. Kyrillidis :

**Randomized Low-Memory Singular Value Projection**. 2013. 10th International Conference on Sampling Theory and Applications (Sampta), Bremen, Germany, July 1st - July 5th, 2013.Q. Tran Dinh; A. Kyrillidis; V. Cevher :

**A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions**. 2013. 30th International Conference on Machine Learning, Atlanta, GA, USA, June 16-19, 2013.# 2012

K. Kose; V. Cevher; A. E. Cetin :

**Filtered Variation method for denoising and sparse signal processing**. 2012. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, Kyoto, Japan, March 25-30, 2012. DOI : 10.1109/ICASSP.2012.6288628.H. Tyagi; V. Cevher :

**Learning Ridge Functions With Randomized Sampling In High Dimensions**. 2012. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 25-39, 2012. p. 2025-2028. DOI : 10.1109/ICASSP.2012.6288306.N. D. Sidiropoulos; A. Kyrillidis :

**Multi-Way Compressed Sensing for Sparse Low-Rank Tensors**;*IEEE Signal Processing Letters*. 2012. DOI : 10.1109/Lsp.2012.2210872.A. Kyrillidis; G. Puy; V. Cevher :

**Hard Thresholding with Norm Constraints**. 2012. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March, 2012. p. 3645-3648. DOI : 10.1109/ICASSP.2012.6288706.A. Kyrillidis; V. Cevher :

**Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction**. 2012. IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, Michigan, USA, August, 2012. p. 185-188. DOI : 10.1109/SSP.2012.6319655.A. Kyrillidis; V. Cevher :

**Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm**. 2012. 2012 IEEE International Symposium on Information Theory Proceedings (ISIT), Cambridge, Massachusetts, USA, July 1-6, 2012. p. 2216-2220. DOI : 10.1109/ISIT.2012.6283847.V. Cevher; H. Tyagi :

**￼Active Learning of Multi-Index Function Models**. 2012. NIPS (The Neural Information Processing Systems), Lake Tahoe, Reno, Nevada, December 3-8, 2012.A. Asaei; H. Bourlard; V. Cevher ;

**Method, apparatus and computer program product for determining the location of a plurality of speech sources**. US9689959 ; US2013096922 . 2012.A. Asaei; B. Raj; H. Bourlard; V. Cevher :

**Structured Sparse Coding for Microphone Array Location Calibration**. 2012. SAPA-SCALE Conference, Portland, Oregon, USA, September 7-13.A. Asaei; M. Davies; H. Bourlard; V. Cevher :

**Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures**. 2012. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 2012.M. Fatemi; S. Dashmiz; M. H. Shafinia; V. Cevher :

**Equivalence of synthesis and atomic formulations of sparse recovery**. 2012. IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, Michigan, USA, Aug 5-8, 2012. p. 177-180.R. Gribonval; V. Cevher; M. E. Davies :

**Compressible distributions for high-dimensional statistics**;*IEEE Transactions on Information Theory*. 2012. DOI : 10.1109/TIT.2012.2197174.A. C. Gurbuz; V. Cevher; J. H. McClellan :

**Bearing estimation via spatial sparsity using compressive sensing**;*IEEE Transactions on Aerospace and Electronic Systems*. 2012. DOI : 10.1109/TAES.2012.6178067.# 2011

S. Jafarpour; R. E. Schapire; V. Cevher :

**Compressive sensing meets game theory**. 2011. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 3660-3663. DOI : 10.1109/ICASSP.2011.5947144.R. Giryes; V. Cevher :

**Online performance guarantees for sparse recovery**. 2011. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. DOI : 10.1109/ICASSP.2011.5946908.A. Kyrillidis; V. Cevher :

**Recipes on Hard Thresholding Methods**. 2011. 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Puerto Rico, December, 2011. DOI : 10.1109/CAMSAP.2011.6136024.V. Cevher :

**On Accelerated Hard Thresholding Methods for Sparse Approximation**. 2011. Conference on Wavelets and Sparsity XIV, San Diego, California, USA, Aug 21-24, 2011. p. -. DOI : 10.1117/12.894386.A. Asaei; H. Bourlard; V. Cevher :

**Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition**. 2011. The 36th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011.V. Cevher; A. Krause :

**Greedy Dictionary Selection for Sparse Representation**;*IEEE Journal of Selected Topics in Signal Processing*. 2011. DOI : 10.1109/JSTSP.2011.2161862.V. Cevher :

**An Alps View of Sparse Recovery**. 2011. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 5808-5811. DOI : 10.1109/ICASSP.2011.5947681.A. T. Kyrillidis; G. N. Karystinos :

**Rank-Deficient Quadratic-Form Maximization Over M-Phase Alphabet: Polynomial-Complexity Solvability And Algorithmic Developments**. 2011. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 3856-3859. DOI : 10.1109/ICASSP.2011.5947193.J. T. Parker; V. Cevher; P. Schniter :

**Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach**. 2011. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, November 6-9, 2011. DOI : 10.1109/ACSSC.2011.6190118.A. Asaei; M. Taghizadeh; H. Bourlard; V. Cevher :

**Multi-party Speech Recovery Exploiting Structured Sparsity Models**. 2011. 12th Annual Conference of the International Speech Communication Association, Florence, Italy, August 28-31, 2011.S. Jafarpour; V. Cevher; R. Schapire :

**A Game Theoretic Approach to Expander-based Compressive Sensing**. 2011. IEEE International Symposium on Information Theory (ISIT), St. Petersburg , Russia, July 31 - August 5, 2011. p. 464-468. DOI : 10.1109/ISIT.2011.6034169.L. Carin; R. Baraniuk; V. Cevher; D. Dunson; M. Jordan et al. :

**Learning Low-Dimensional Signal Models**;*IEEE Signal Processing Magazine*. 2011. DOI : 10.1109/MSP.2010.939733.# 2010

V. Cevher; S. Jafarpour :

**Fast hard thresholding with Nesterov's gradient method**. 2010. Advances in Neuronal Information Processing Systems (NIPS) Workshops, Whistler, Canada, December 2010.V. Cevher; P. Indyk; L. Carin; R. Baraniuk :

**Sparse Signal Acquisition and Recovery with Graphical Models**;*IEEE Signal Processing Magazine*. 2010. DOI : 10.1109/MSP.2010.938029.A. Krause; V. Cevher :

**Submodular dictionary selection for sparse representation**. 2010. International Conference on Machine Learning (ICML), Haifa, Israel, June 2010.A. Waters; V. Cevher :

**Distributed bearing estimation via matrix completion**. 2010. 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, Texas, USA, March 14-19, 2010. DOI : 10.1109/ICASSP.2010.5496281.R. Baraniuk; V. Cevher; M. F. Duarte; C. Hegde :

**Model-based compressive sensing**;*IEEE Transactions on Information Theory*. 2010. DOI : 10.1109/TIT.2010.2040894.R. Baraniuk; V. Cevher; M. B. Wakin :

**Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective**;*Proceedings of the IEEE*. 2010. DOI : 10.1109/JPROC.2009.2038076.# 2009

V. Cevher :

**Learning with Compressible Priors**. 2009. Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, December 2009.M. F. Duarte; V. Cevher; R. G. Baraniuk :

**Model-Based Compressive Sensing for Signal Ensembles**. 2009. 47th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, September 2009.V. Cevher; P. Indyk; C. Hegde; R. Baraniuk :

**Recovery of clustered sparse signals from compressive measurements**. 2009. International conference on Sampling Theory and Applications(SAMPTA), Marseille, France, 18-22 May, 2009.V. Cevher; P. Boufounos; R. G. Baraniuk; A. C. Gilbert; M. J. Strauss :

**Near-Optimal Bayesian Localization via Incoherence and Sparsity**. 2009. IEEE/ACM Information Processing in Sensor Networks (IPSN), San Francisco, CA, Apr 13-16, 2009.C. Hegde; M. F. Duarte; V. Cevher :

**Compressive sensing recovery of spike trains using a structured sparsity model**. 2009. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Saint-Malo, France, April 06-09, 2009 .M. F. Duarte; C. Hegde; V. Cevher; R. G. Baraniuk :

**Recovery of Compressible Signals in Unions of Subspaces**. 2009. Conference on Information Sciences and Systems (CISS), Baltimore, MD, Mar 18-20, 2009.V. Cevher; L. Kaplan :

**Acoustic sensor network design for position estimation**;*ACM Transactions on Sensor Networks*. 2009.V. Cevher; R. Chellappa; J. H. McClellan :

**Vehicle speed estimation using acoustic wave patterns**;*IEEE Transactions on Signal Processing*. 2009. DOI : 10.1109/TSP.2008.2005750.# 2008

V. Cevher; M. F. Duarte; C. Hedge; R. Baraniuk :

**Sparse signal recovery using Markov random fields**. 2008. Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, December 8-11, 2008.V. Cevher; A. Sankaranarayanan; M. F. Duarte; D. Reddy; R. G. Baraniuk et al. :

**Compressive Sensing for Background Subtraction**. 2008. European Conference on Computer Vision (ECCV), Marseille, FRANCE, Oct 12-18, 2008.V. Cevher; M. F. Duarte; R. Baraniuk :

**Distributed target localization via spatial sparsity**. 2008. European Conference on Signal Processing (EUSIPCO), Lausanne, Switzerland, August 25-29, 2008.V. Cevher; L. Kaplan :

**Pareto frontiers of sensor networks for localization**. 2008. IEEE/ACM Information Processing in Sensor Networks (IPSN), St Louis, MO, Apr 22-24, 2008.V. Cevher; R. Baraniuk :

**Compressive Sensing For Sensor Calibration**. 2008. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Darmstadt, GERMANY, Jul 21-23, 2008.D. Reddy; A. C. Sankaranarayanan; V. Cevher; R. Chellappa :

**Compressed Sensing For Multi-View Tracking And 3-D Voxel Reconstruction**. 2008. IEEE International Conference on Image Processing (ICIP), San Diego, CA, Oct 12-15, 2008.V. Cevher; A. C. Sankaranarayanan; R. Chellappa :

**Factorized variational approximations for acoustic multi source localization**. 2008. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar 30-Apr 04, 2008.V. Cevher; A. C. Gurbuz; J. H. McClellan; R. Chellappa :

**Compressive wireless arrays for bearing estimation**. 2008. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar 30-Apr 04, 2008.A. C. Gurbuz; J. H. McClellan; V. Cevher :

**A compressive beamforming method**. 2008. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar 30-Apr 04, 2008.# 2007

V. Cevher; R. Chellappa; J. H. McClellan :

**Gaussian approximations for energy-based detection and localization in sensor networks**. 2007. IEEE Statistical Signal Processing Workshop (SSP), Madison, WI, Aug 26-29, 2007.R. Velmurugan; V. Cevher; J. H. McClellan :

**Implementation of batch-based particle filters for multi-sensor tracking**. 2007. IEEE Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), St Thomas, VI, Dec 12-14, 2007.R. Velmurugan; S. Subramanian; V. Cevher; J. H. McClellan; D. V. Anderson :

**Mixed-mode implementation of particle filters**. 2007. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), Victoria, Canada, Aug 22-24, 2007.V. Cevher; R. Chellappa; J. H. McClellan :

**Joint acoustic-video fingerprinting of vehicles, part I**. 2007. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, Apr 15-20, 2007.V. Cevher; F. Guo; A. C. Sankaranarayanan; R. Chellappa :

**Joint acoustic-video fingerprinting of vehicles, part II**. 2007. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, Apr 15-20, 2007.V. Cevher; F. Shah; R. Velmurugan; J. H. McClellan :

**A multi target bearing tracking system using random sampling consensus**. 2007. IEEE Aerospace Conference, Big Sky, MT, Mar 03-10, 2007.M. Borkar; V. Cevher; J. H. McClellan :

**A Monte-Carlo approach for tracking mobile personnel**. 2007. IEEE Aerospace Conference, Big Sky, MT, Mar 03-10, 2007.L. M. Kaplan; V. Cevher :

**Design considerations for a heterogeneous network of bearings-only sensors using sensor management**. 2007. IEEE Aerospace Conference, Big Sky, MT, Mar 03-10, 2007.V. Cevher; R. Velmurugan; J. H. McClellan :

**Acoustic multi target tracking using direction-of-arrival batches**;*IEEE Transactions on Signal Processing*. 2007. DOI : 10.1109/TSP.2007.893962.V. Cevher; A. C. Sankaranarayanan; J. H. McClellan; R. Chellappa :

**Target tracking using a joint acoustic video system**;*IEEE Transactions on Multimedia*. 2007. DOI : 10.1109/TMM.2007.893340.M. Alam; V. Cevher; J. H. McClellan; G. D. Larson; W. R. Scott :

**Optimal maneuvering of seismic sensors for localization of subsurface targets**;*IEEE Transactions on Geoscience and Remote Sensing*. 2007. DOI : 10.1109/TGRS.2007.894551.M. Borkar; V. Cevher; J. H. McClellan :

**Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks**;*Journal of Vlsi Signal Processing Systems for Signal Image and Video Technology*. 2007. DOI : 10.1007/s11265-006-0007-8.M. Borkar; V. Cevher; J. H. McClellan :

**Low computation and low latency algorithms for distributed sensor network initialization**;*Signal, Image and Video Processing*. 2007. DOI : 10.1007/s11760-007-0014-7.# 2006

S. Ozgur; V. Cevher; D. B. Williams; J. H. McClellan :

**Convergence analysis for sequential Monte Carlo receivers in communications applications**. 2006. IEEE DSPWorkshop, Grand Teton National Park, WY, September, 2006.V. Cevher; M. Borkar; J. H. McClellan :

**A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation**. 2006. European Conference on Signal Processing (EUSIPCO), Florence, Italy, September, 2006.R. Velmurugan; S. Subramanian; V. Cevher; D. Abramson; K. M. Odame et al. :

**On low-power analog implementations of particle filters for target tracking**. 2006. European Conference on Signal Processing (EUSIPCO), Florence, Italy, September, 2006.V. Cevher; R. Velmurugan; J. H. McClellan :

**A range-only multiple target particle filter tracker**. 2006. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006.M. Alam; V. Cevher; J. H. McClellan :

**Optimal experiments with seismic sensors**. 2006. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006.M. Borkar; V. Cevher; J. H. McClellan :

**A Monte-Carlo method for initializing distributed tracking algorithms**. 2006. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006.V. Cevher; R. Velmurugan; J. H. McClellan :

**Multi target direction-of-arrival tracking using road priors**. 2006. IEEE Aerospace Conference, Big Sky, MT, March, 2006.V. Cevher; J. H. McClellan :

**Acoustic node calibration using moving sources**;*IEEE Transactions on Aerospace and Electronic Systems*. 2006. DOI : 10.1109/TAES.2006.1642574.# 2005

V. Cevher; J. H. McClellan :

**An acoustic multiple target tracker**. 2005. IEEE Statistical Signal Processing Conference (SSP), Bordeaux, France, July, 2005.V. Cevher; J. H. McClellan; M. Borkar :

**Estimating target state distributions in a distributed sensor network using a Monte-Carlo approach**. 2005. IEEEWorkshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, September, 2005.J. H. McClellan; V. Cevher :

**Proposal strategies for joint state-space tracking with particle filters**. 2005. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, PA, March 18-23, 2005.V. Cevher; J. H. McClellan :

**General direction-of-arrival tracking with acoustic nodes**;*IEEE Transactions on Signal Processing*. 2005. DOI : 10.1109/TSP.2004.838947.# 2004

A. C. Sankaranayanan; Q. Zheng; R. Chellappa; V. Cevher; J. H. McClellan et al. :

**Vehicle tracking using acoustic and video sensors**. 2004. Army Science Conference (ASC), Orlando, FL, November, 2004.J. H. McClellan; V. Cevher :

**Acoustic node calibration using helicopter sounds and Monte Carlo markov chain methods**. 2004. IEEE DSP Workshop, Taos Ski Valley, NM, August, 2004.J. H. McClellan; V. Cevher :

**Fast initialization of particle filters using a modified Metropolis-Hastings algorithm: Mode-hungry approach**. 2004. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May, 2004.# 2002

R. M. Dansereau; W. Kinsner; V. Cevher :

**Wavelet packet best basis search using generalized Renyi entropy**. 2002. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, 2002.J. H. McClellan; V. Cevher :

**Tracking of multiple wideband targets using passive sensor arrays and particle filters**. 2002. IEEE DSP Workshop, Callaway Gardens, GA, October, 2002.J. H. McClellan; V. Cevher :

**2-D sensor position perturbation analysis: Equivalence to AWGN on array outputs**. 2002. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Washington DC, August, 2002.W. Kinsner; V. Cevher; R. M. Dansereau :

**Wavelet packet best basis search using generalized Renyi entropy**. 2002. p. 1005-1008.# 2001

V. Cevher; J. H. McClellan :

**Sensor array calibration via tracking with the extended Kalman filter**. 2001. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, Utah, USA, May 2001.