| 2026 | EACL | BLUR: A Bi-Level Optimization Approach for LLM Unlearning. | Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong |
| 2025 | EMNLP | LUME: LLM Unlearning with Multitask Evaluations. | Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta |
| 2025 | EMNLP | Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. | Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta |
| 2025 | ICANN | HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity. | Sonny Achten, Zander Op de Beeck, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens |
| 2025 | ICLR | Certified Robustness Under Bounded Levenshtein Distance. | Elas Abad-Rocamora, Grigorios Chrysos, Volkan Cevher |
| 2025 | ICLR | Adversarial Training for Defense Against Label Poisoning Attacks. | Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach |
| 2025 | ICLR | Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. | Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro |
| 2025 | ICLR | Quantum-PEFT: Ultra parameter-efficient fine-tuning. | Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher |
| 2025 | ICLR | Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs. | Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher |
| 2025 | ICLR | Addressing Label Shift in Distributed Learning via Entropy Regularization. | Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya |
| 2025 | ICLR | How Gradient descent balances features: A dynamical analysis for two-layer neural networks. | Zhenyu Zhu, Fanghui Liu, Volkan Cevher |
| 2025 | ICML | Best of Both Worlds: Regret Minimization versus Minimax Play. | Adrian Mller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher |
| 2025 | ICML | Generalization of noisy SGD in unbounded non-convex settings. | Leello Tadesse Dadi, Volkan Cevher |
| 2025 | ICML | Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games. | Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher |
| 2025 | ICML | Layer-wise Quantization for Quantized Optimistic Dual Averaging. | Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher |
| 2025 | ICML | Training Deep Learning Models with Norm-Constrained LMOs. | Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, Antonio Silveti-Falls, Volkan Cevher |
| 2025 | ICML | Accelerating Spectral Clustering under Fairness Constraints. | Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher |
| 2025 | ICML | IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic. | Stefano Viel, Luca Viano, Volkan Cevher |
| 2025 | ICML | Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning. | Wanyun Xie, Francesco Tonin, Volkan Cevher |
| 2025 | NAACL | Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. | Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong |
| 2024 | ACL | Extreme Miscalibration and the Illusion of Adversarial Robustness. | Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis |
| 2024 | AISTATS | Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. | Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher |
| 2024 | ICLR | Efficient local linearity regularization to overcome catastrophic overfitting. | Elas Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher |
| 2024 | ICLR | Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. | Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takc |
| 2024 | ICLR | Generalization of Scaled Deep ResNets in the Mean-Field Regime. | Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher |
| 2024 | ICLR | Multilinear Operator Networks. | Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher |
| 2024 | ICLR | Efficient Continual Finite-Sum Minimization. | Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher |
| 2024 | ICLR | Adversarial Training Should Be Cast as a Non-Zero-Sum Game. | Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher |
| 2024 | ICLR | Robust NAS under adversarial training: benchmark, theory, and beyond. | Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher |
| 2024 | ICML | Revisiting Character-level Adversarial Attacks for Language Models. | Elas Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher |
| 2024 | ICML | REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. | Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran |
| 2024 | ICML | High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization. | Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher |
| 2024 | ICML | Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations. | Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher |
| 2024 | ICML | Truly No-Regret Learning in Constrained MDPs. | Adrian Mller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He |
| 2024 | ICML | MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. | Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher |
| 2024 | ICML | Learning to Remove Cuts in Integer Linear Programming. | Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher |
| 2024 | ICML | Universal Gradient Methods for Stochastic Convex Optimization. | Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher |
| 2024 | ICML | Imitation Learning in Discounted Linear MDPs without exploration assumptions. | Luca Viano, Stratis Skoulakis, Volkan Cevher |
| 2024 | ICML | Improving SAM Requires Rethinking its Optimization Formulation. | Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher |
| 2024 | KDD | Inference Optimization of Foundation Models on AI Accelerators. | Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kbler, Jiaji Huang, Matthus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis |
| 2023 | AIES | Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. | Junaid Ali, Matthus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell |
| 2023 | CVPR | Regularization of polynomial networks for image recognition. | Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher |
| 2023 | ICLR | Finding Actual Descent Directions for Adversarial Training. | Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher |
| 2023 | ICLR | Solving stochastic weak Minty variational inequalities without increasing batch size. | Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher |
| 2023 | ICLR | Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. | Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher |
| 2023 | ICLR | DiGress: Discrete Denoising diffusion for graph generation. | Clment Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard |
| 2023 | ICML | What can online reinforcement learning with function approximation benefit from general coverage conditions? | Fanghui Liu, Luca Viano, Volkan Cevher |
| 2023 | ICML | Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. | Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher |
| 2023 | ICML | When do Minimax-fair Learning and Empirical Risk Minimization Coincide? | Harvineet Singh, Matthus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell |
| 2023 | ICML | Benign Overfitting in Deep Neural Networks under Lazy Training. | Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher |
| 2022 | AISTATS | Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. | Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rtsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever |
| 2022 | ICLR | The Spectral Bias of Polynomial Neural Networks. | Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher |
| 2022 | ICLR | High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. | Ali Kavis, Kfir Yehuda Levy, Volkan Cevher |
| 2022 | ICLR | Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. | Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher |
| 2022 | ICLR | Controlling the Complexity and Lipschitz Constant improves Polynomial Nets. | Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher |
| 2022 | ICML | A Natural Actor-Critic Framework for Zero-Sum Markov Games. | Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher |
| 2022 | ICML | UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees. | Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos |
| 2022 | ICML | Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. | Paul Rolland, Volkan Cevher, Matthus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schlkopf, Francesco Locatello |
| 2021 | ICASSP | A Plug-and-Play Deep Image Prior. | Zhaodong Sun, Fabian Latorre, Thomas Sanchez, Volkan Cevher |
| 2021 | ICML | Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach. | Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher |
| 2021 | ICML | The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. | Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher |
| 2020 | ICASSP | Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. | Thomas Sanchez, Baran Gzc, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga ukur, Volkan Cevher |
| 2020 | ICLR | Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. | Fabian Latorre, Paul Rolland, Volkan Cevher |
| 2020 | ICML | Random extrapolation for primal-dual coordinate descent. | Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher |
| 2020 | ICML | A new regret analysis for Adam-type algorithms. | Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher |
| 2020 | ICML | Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. | Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher |
| 2020 | ICML | Double-Loop Unadjusted Langevin Algorithm. | Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher |
| 2020 | ICML | Conditional gradient methods for stochastically constrained convex minimization. | Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher |
| 2019 | AAAI | Iterative Classroom Teaching. | Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher |
| 2019 | ICML | Almost surely constrained convex optimization. | Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher |
| 2019 | ICML | Finding Mixed Nash Equilibria of Generative Adversarial Networks. | Ya-Ping Hsieh, Chen Liu, Volkan Cevher |
| 2019 | ICML | On Certifying Non-Uniform Bounds against Adversarial Attacks. | Chen Liu, Ryota Tomioka, Volkan Cevher |
| 2019 | ICML | Efficient learning of smooth probability functions from Bernoulli tests with guarantees. | Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher |
| 2019 | ICML | A Conditional-Gradient-Based Augmented Lagrangian Framework. | Alp Yurtsever, Olivier Fercoq, Volkan Cevher |
| 2019 | ICML | Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. | Alp Yurtsever, Suvrit Sra, Volkan Cevher |
| 2019 | IJCAI | Interactive Teaching Algorithms for Inverse Reinforcement Learning. | Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla |
| 2019 | ISIT | Overlapping Multi-Bandit Best Arm Identification. | Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2018 | AISTATS | Robust Maximization of Non-Submodular Objectives. | Ilija Bogunovic, Junyao Zhao, Volkan Cevher |
| 2018 | AISTATS | Combinatorial Penalties: Which structures are preserved by convex relaxations? | Marwa El Halabi, Francis R. Bach, Volkan Cevher |
| 2018 | AISTATS | High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. | Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2018 | AISTATS | Stochastic Three-Composite Convex Minimization with a Linear Operator. | Renbo Zhao, Volkan Cevher |
| 2018 | ALT | Dimension-free Information Concentration via Exp-Concavity. | Ya-Ping Hsieh, Volkan Cevher |
| 2018 | ICML | Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. | Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher |
| 2018 | ICML | Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods. | Junhong Lin, Volkan Cevher |
| 2018 | ICML | Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. | Junhong Lin, Volkan Cevher |
| 2018 | ICML | A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. | Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher |
| 2018 | ISIT | Near-Optimal Noisy Group Testing via Separate Decoding of Items. | Jonathan Scarlett, Volkan Cevher |
| 2017 | AISTATS | Faster Coordinate Descent via Adaptive Importance Sampling. | Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi |
| 2017 | AISTATS | Lower Bounds on Active Learning for Graphical Model Selection. | Jonathan Scarlett, Volkan Cevher |
| 2017 | AISTATS | Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. | Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher |
| 2017 | COLT | Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. | Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2017 | ICASSP | How little does non-exact recovery help in group testing? | Jonathan Scarlett, Volkan Cevher |
| 2017 | ICML | Robust Submodular Maximization: A Non-Uniform Partitioning Approach. | Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher |
| 2017 | STOC | An adaptive sublinear-time block sparse fourier transform. | Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh |
| 2016 | AISTATS | Time-Varying Gaussian Process Bandit Optimization. | Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher |
| 2016 | AISTATS | Convex Block-sparse Linear Regression with Expanders - Provably. | Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher |
| 2016 | AISTATS | Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices. | Jonathan Scarlett, Volkan Cevher |
| 2016 | ICASSP | Learning data triage: Linear decoding works for compressive MRI. | Yen-Huan Li, Volkan Cevher |
| 2016 | ICASSP | Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. | Gergely dor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher |
| 2016 | ISIT | Partial recovery bounds for the sparse stochastic block model. | Jonathan Scarlett, Volkan Cevher |
| 2016 | ISIT | Converse bounds for noisy group testing with arbitrary measurement matrices. | Jonathan Scarlett, Volkan Cevher |
| 2016 | SODA | Phase Transitions in Group Testing. | Jonathan Scarlett, Volkan Cevher |
| 2015 | AISTATS | Stochastic Spectral Descent for Restricted Boltzmann Machines. | David E. Carlson, Volkan Cevher, Lawrence Carin |
| 2015 | AISTATS | A totally unimodular view of structured sparsity. | Marwa El Halabi, Volkan Cevher |
| 2015 | AISTATS | Sparsistency of 1-Regularized M-Estimators. | Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher |
| 2015 | AISTATS | WASP: Scalable Bayes via barycenters of subset posteriors. | Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson |
| 2015 | ICASSP | Active learning of self-concordant like multi-index functions. | Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett |
| 2015 | ICASSP | Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression. | Yen-Huan Li, Volkan Cevher |
| 2015 | ICASSP | Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. | Joo F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues |
| 2015 | ISIT | Sparse group covers and greedy tree approximations. | Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher |
| 2015 | ISIT | Limits on support recovery with probabilistic models: An information-theoretic framework. | Jonathan Scarlett, Volkan Cevher |
| 2015 | ISIT | A concentration-of-measure inequality for multiple-measurement models. | Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin |
| 2014 | AAAI | Scalable Sparse Covariance Estimation via Self-Concordance. | Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher |
| 2014 | ICASSP | Model-based sparse component analysis for reverberant speech localization. | Afsaneh Asaei, Herv Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher |
| 2014 | ICASSP | Metric learning with rank and sparsity constraints. | Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu |
| 2014 | ICASSP | Barrier smoothing for nonsmooth convex minimization. | Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher |
| 2014 | SODA | Model-based Sketching and Recovery with Expanders. | Bubacarr Bah, Luca Baldassarre, Volkan Cevher |
| 2014 | UAI | A variational approach to stable principal component pursuit. | Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen |
| 2013 | ICASSP | Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection. | Anastasios Kyrillidis, Volkan Cevher |
| 2013 | ICML | Sparse projections onto the simplex. | Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch |
| 2013 | ICML | A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. | Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher |
| 2013 | ISIT | Tractability of interpretability via selection of group-sparse models. | Nirav Bhan, Luca Baldassarre, Volkan Cevher |
| 2013 | ISIT | Fixed points of generalized approximate message passing with arbitrary matrices. | Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher |
| 2012 | ICASSP | Computational methods for structured sparse component analysis of convolutive speech mixtures. | Afsaneh Asaei, Michael E. Davies, Herv Bourlard, Volkan Cevher |
| 2012 | ICASSP | Filtered Variation method for denoising and sparse signal processing. | Kivan Kse, Volkan Cevher, A. Enis etin |
| 2012 | ICASSP | Hard thresholding with norm constraints. | Anastasios Kyrillidis, Gilles Puy, Volkan Cevher |
| 2012 | ICASSP | Learning ridge functions with randomized sampling in high dimensions. | Hemant Tyagi, Volkan Cevher |
| 2012 | Interspeech | Structured sparse coding for microphone array location calibration. | Afsaneh Asaei, Bhiksha Raj, Herv Bourlard, Volkan Cevher |
| 2012 | ISIT | Combinatorial selection and least absolute shrinkage via the Clash algorithm. | Anastasios Kyrillidis, Volkan Cevher |
| 2011 | ACSSC | Compressive sensing under matrix uncertainties: An Approximate Message Passing approach. | Jason T. Parker, Volkan Cevher, Philip Schniter |
| 2011 | ICASSP | Model-based compressive sensing for multi-party distant speech recognition. | Afsaneh Asaei, Herv Bourlard, Volkan Cevher |
| 2011 | ICASSP | An ALPS view of sparse recovery. | Volkan Cevher |
| 2011 | ICASSP | Online performance guarantees for sparse recovery. | Raja Giryes, Volkan Cevher |
| 2011 | ICASSP | Compressive sensing meets game theory. | Sina Jafarpour, Robert E. Schapire, Volkan Cevher |
| 2011 | Interspeech | Multi-Party Speech Recovery Exploiting Structured Sparsity Models. | Afsaneh Asaei, Mohammad Javad Taghizadeh, Herv Bourlard, Volkan Cevher |
| 2011 | ISIT | A game theoretic approach to expander-based compressive sensing. | Sina Jafarpour, Volkan Cevher, Robert E. Schapire |
| 2010 | ICASSP | Distributed bearing estimation via matrix completion. | Andrew E. Waters, Volkan Cevher |
| 2010 | ICML | Submodular Dictionary Selection for Sparse Representation. | Andreas Krause, Volkan Cevher |
| 2009 | CISS | Recovery of compressible signals in unions of subspaces. | Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk |
| 2008 | ECCV | Compressive Sensing for Background Subtraction. | Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa |
| 2008 | ICASSP | Compressive wireless arrays for bearing estimation. | Volkan Cevher, Ali Cafer Grbz, James H. McClellan, Rama Chellappa |
| 2008 | ICASSP | Factorized variational approximations for acoustic multi source localization. | Volkan Cevher, Aswin C. Sankaranarayanan, Rama Chellappa |
| 2008 | ICASSP | A compressive beamforming method. | Ali Cafer Grbz, James H. McClellan, Volkan Cevher |
| 2008 | ICIP | Compressed sensing for multi-view tracking and 3-D voxel reconstruction. | Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Cevher, Rama Chellappa |
| 2007 | ICASSP | Joint Acoustic-Video Fingerprinting of Vehicles, Part I. | Volkan Cevher, Rama Chellappa, James H. McClellan |
| 2007 | ICASSP | Joint Acoustic-Video Fingerprinting of Vehicles, Part II. | Volkan Cevher, Feng Guo, Aswin C. Sankaranarayanan, Rama Chellappa |
| 2006 | ICASSP | Optimal Experiments With Seismic Sensors. | Mubashir Alam, Volkan Cevher, James H. McClellan |
| 2006 | ICASSP | A Monte-Carlo Method for Initializing Distributed Tracking Algorithms. | Milind Borkar, Volkan Cevher, James H. McClellan |
| 2006 | ICASSP | A Range-Only Multiple Target Particle Filter Tracker. | Volkan Cevher, Rajbabu Velmurugan, James H. McClellan |
| 2005 | ICASSP | Proposal strategies for joint state-space tracking with particle filters. | Volkan Cevher, James H. McClellan |
| 2004 | ICASSP | Fast initialization of particle filters using a modified metropolis-Hastings algorithm: mode-hungry approach. | Volkan Cevher, James H. McClellan |
| 2001 | ICASSP | Sensor array calibration via tracking with the extended Kalman filter. | Volkan Cevher, James H. McClellan |