Publications

2019

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.
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.
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, Honolulu, Hawaii, USA, January 27 – February 1, 2019.
R. Karimi Mahabadi; J. Lin; V. Cevher : A Learning-Based Framework for Quantized Compressed Sensing; IEEE Signal Processing Letters. 2019.
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.
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.
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), Amsterdam, July 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. 2012US-13/654055 . 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; A. Krause : Greedy dictionary selection for sparse representation. 2009. Neural Information Processing Systems (NIPS), Workshop on Discrete Optimization in Machine Learning, Vancouver, Canada, December, 2009. p. 979-988. DOI : 10.1109/JSTSP.2011.2161862.
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.