Volkan Cevher
Orcid: 0000-0002-5004-201X
According to our database1,
Volkan Cevher
authored at least 317 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Math. Program., January, 2024
J. Mach. Learn. Res., 2024
J. Mach. Learn. Res., 2024
μ P<sup>2</sup>: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling.
CoRR, 2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
CoRR, 2024
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning.
CoRR, 2024
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.
CoRR, 2024
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation.
CoRR, 2024
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity.
CoRR, 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces.
CoRR, 2024
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Provable benefits of general coverage conditions in efficient online RL with function approximation.
CoRR, 2023
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps.
Proceedings of the 2023 Symposium on Simplicity in Algorithms, 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
Proceedings of the International Conference on Machine Learning, 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions?
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Solving stochastic weak Minty variational inequalities without increasing batch size.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS.
IEEE J. Solid State Circuits, 2022
J. Glob. Optim., 2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration.
CoRR, 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization).
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity.
SIAM J. Optim., 2021
Comput. Optim. Appl., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Sifting through the noise: Universal first-order methods for stochastic variational inequalities.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets.
Proceedings of the 38th International Conference on Machine Learning, 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2021
2020
IEEE Signal Process. Mag., 2020
IEEE Signal Process. Mag., 2020
Math. Program. Comput., 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms.
J. Mach. Learn. Res., 2020
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections.
J. Mach. Learn. Res., 2020
CoRR, 2020
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE Signal Process. Lett., 2019
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation.
SIAM J. Sci. Comput., 2019
Optim. Lett., 2019
J. Optim. Theory Appl., 2019
CoRR, 2019
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation.
CoRR, 2019
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization.
SIAM J. Optim., 2018
IEEE J. Sel. Top. Signal Process., 2018
An Eight-Lane 7-Gb/s/pin Source Synchronous Single-Ended RX With Equalization and Far-End Crosstalk Cancellation for Backplane Channels.
IEEE J. Solid State Circuits, 2018
Efficient learning of smooth probability functions from Bernoulli tests with guarantees.
CoRR, 2018
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms.
CoRR, 2018
Optimal Rates for Spectral-regularized Algorithms with Least-Squares Regression over Hilbert Spaces.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.
Proceedings of the 35th International Conference on Machine Learning, 2018
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018
Proceedings of the Algorithmic Learning Theory, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework.
IEEE Trans. Inf. Theory, 2017
SIAM J. Matrix Anal. Appl., 2017
CoRR, 2017
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
Proceedings of the Computing Frontiers Conference, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.
IEEE Trans. Signal Process., 2016
Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Inf. Process. over Networks, 2016
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Inf. Theory, 2016
Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analysis.
Speech Commun., 2016
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sci., 2015
IEEE J. Sel. Top. Signal Process., 2015
Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost.
IEEE J. Sel. Top. Signal Process., 2015
Limits on Support Recovery with Probabilistic Models: An Information-Spectrum Approach.
CoRR, 2015
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction.
CoRR, 2015
Algorithmica, 2015
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.
Proceedings of the Symposium on VLSI Circuits, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
IEEE Trans. Signal Process., 2014
IEEE Trans. Signal Process., 2014
IEEE ACM Trans. Audio Speech Lang. Process., 2014
IEEE Signal Process. Mag., 2014
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics.
IEEE Signal Process. Mag., 2014
SIAM J. Optim., 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
IEEE Trans. Inf. Theory, 2012
IEEE Trans. Aerosp. Electron. Syst., 2012
Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings
CoRR, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the ISCA Workshop on Statistical And Perceptual Audition, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Computational methods for structured sparse component analysis of convolutive speech mixtures.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE J. Sel. Top. Signal Process., 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011
Compressive sensing under matrix uncertainties: An Approximate Message Passing approach.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
IEEE Signal Process. Mag., 2010
Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective.
Proc. IEEE, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
IEEE Trans. Signal Process., 2009
ACM Trans. Sens. Networks, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 8th International Conference on Information Processing in Sensor Networks, 2009
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the 2008 16th European Signal Processing Conference, 2008
Proceedings of the Computer Vision, 2008
2007
Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks.
J. VLSI Signal Process., 2007
IEEE Trans. Signal Process., 2007
IEEE Trans. Geosci. Remote. Sens., 2007
Low computation and low latency algorithms for distributed sensor network initialization.
Signal Image Video Process., 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation.
Proceedings of the 14th European Signal Processing Conference, 2006
2005
PhD thesis, 2005
IEEE Trans. Signal Process., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Fast initialization of particle filters using a modified metropolis-Hastings algorithm: mode-hungry approach.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2001
Proceedings of the IEEE International Conference on Acoustics, 2001