Volkan Cevher

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 283

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR (2024)
Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR (2024)
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
Inference Optimization of Foundation Models on AI Accelerators. KDD (2024)
Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher
Improving SAM Requires Rethinking its Optimization Formulation. CoRR (2024)
Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher
Generalization of Scaled Deep ResNets in the Mean-Field Regime. ICLR (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR (2024)
Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. CoRR (2024)
Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher
Generalization of Scaled Deep ResNets in the Mean-Field Regime. CoRR (2024)
Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
A unified stochastic approximation framework for learning in games. Math. Program. 203 (1) (2024)
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher
Multilinear Operator Networks. ICLR (2024)
Luca Viano, Stratis Skoulakis, Volkan Cevher
Imitation Learning in Discounted Linear MDPs without exploration assumptions. CoRR (2024)
Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher
Efficient Continual Finite-Sum Minimization. ICLR (2024)
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
Truly No-Regret Learning in Constrained MDPs. CoRR (2024)
Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
Learning to Remove Cuts in Integer Linear Programming. CoRR (2024)
Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher
Efficient Continual Finite-Sum Minimization. CoRR (2024)
Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher
Mixed Nash for Robust Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. CoRR (2024)
Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
Extreme Miscalibration and the Illusion of Adversarial Robustness. ACL (1) (2024)
Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
Extreme Miscalibration and the Illusion of Adversarial Robustness. CoRR (2024)
Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization. CoRR (2024)
Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
Revisiting character-level adversarial attacks. CoRR (2024)
Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity. CoRR (2024)
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher
Robust NAS under adversarial training: benchmark, theory, and beyond. CoRR (2024)
Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. CoRR (2024)
Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR (2024)
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
Robust NAS under adversarial training: benchmark, theory, and beyond. ICLR (2024)
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
Inference Optimization of Foundation Models on AI Accelerators. CoRR (2024)
Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. CoRR (2024)
Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS (2024)
Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. CoRR (2024)
Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
Efficient local linearity regularization to overcome catastrophic overfitting. ICLR (2024)
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR (2024)
Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher
Multilinear Operator Networks. CoRR (2024)
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. ICLR (2023)
Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
On the Convergence of Encoder-only Shallow Transformers. CoRR (2023)
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Federated Learning under Covariate Shifts with Generalization Guarantees. Trans. Mach. Learn. Res. 2023 (2023)
Dimitrios Christou, Stratis Skoulakis, Volkan Cevher
Efficient Online Clustering with Moving Costs. NeurIPS (2023)
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Federated Learning under Covariate Shifts with Generalization Guarantees. CoRR (2023)
Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR (2023)
Zhenyu Zhu, Francesco Locatello, Volkan Cevher
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling. NeurIPS (2023)
Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. NeurIPS (2023)
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR (2023)
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. CoRR (2023)
Thomas Pethick, Wanyun Xie, Volkan Cevher
Stable Nonconvex-Nonconcave Training via Linear Interpolation. CoRR (2023)
Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher
Regularization of polynomial networks for image recognition. CVPR (2023)
Fanghui Liu, Luca Viano, Volkan Cevher
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML (2023)
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML (2023)
Zhenyu Zhu, Francesco Locatello, Volkan Cevher
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling. CoRR (2023)
Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. CoRR (2023)
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. CoRR (2023)
Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
Exponential Lower Bounds for Fictitious Play in Potential Games. CoRR (2023)
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR (2023)
Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Francesco Locatello, Volkan Cevher
Benign Overfitting in Deep Neural Networks under Lazy Training. CoRR (2023)
Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. CoRR (2023)
Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
Alternation makes the adversary weaker in two-player games. NeurIPS (2023)
Thomas Pethick, Grigorios G. Chrysos, Volkan Cevher
Revisiting adversarial training for the worst-performing class. CoRR (2023)
Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML (2023)
Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios G. Chrysos, Volkan Cevher
Maximum Independent Set: Self-Training through Dynamic Programming. CoRR (2023)
Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR (2023)
Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
Maximum Independent Set: Self-Training through Dynamic Programming. NeurIPS (2023)
Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
DiGress: Discrete Denoising diffusion for graph generation. ICLR (2023)
Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
Exponential Lower Bounds for Fictitious Play in Potential Games. NeurIPS (2023)
Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
On the Convergence of Encoder-only Shallow Transformers. NeurIPS (2023)
Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. SOSA (2023)
Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Revisiting adversarial training for the worst-performing class. Trans. Mach. Learn. Res. 2023 (2023)
Thomas Pethick, Wanyun Xie, Volkan Cevher
Stable Nonconvex-Nonconcave Training via Linear Interpolation. NeurIPS (2023)
Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher
Regularization of polynomial networks for image recognition. CoRR (2023)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher
Benign Overfitting in Deep Neural Networks under Lazy Training. ICML (2023)
Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. CoRR (2023)
Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher
Finding Actual Descent Directions for Adversarial Training. ICLR (2023)
Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES (2023)
Fanghui Liu, Luca Viano, Volkan Cevher
Provable benefits of general coverage conditions in efficient online RL with function approximation. CoRR (2023)
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. NeurIPS (2022)
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. CoRR (2022)
Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Emilie C. M. Revol, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS. IEEE J. Solid State Circuits 57 (9) (2022)
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
The Spectral Bias of Polynomial Neural Networks. ICLR (2022)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Generalization Properties of NAS under Activation and Skip Connection Search. NeurIPS (2022)
Paul Rolland, Luca Viano, Norman Schuerhoff, Boris Nikolov, Volkan Cevher
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR (2022)
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
On the Convergence of Stochastic Primal-Dual Hybrid Gradient. SIAM J. Optim. 32 (2) (2022)
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. CoRR (2022)
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR (2022)
Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. CoRR (2022)
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation. CoRR (2022)
Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR (2022)
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS (2022)
Fanghui Liu, Johan A. K. Suykens, Volkan Cevher
On the Double Descent of Random Features Models Trained with SGD. NeurIPS (2022)
Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). CoRR (2022)
Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML (2022)
Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher
A Natural Actor-Critic Framework for Zero-Sum Markov Games. ICML (2022)
Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello
Score matching enables causal discovery of nonlinear additive noise models. CoRR (2022)
Fanghui Liu, Luca Viano, Volkan Cevher
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration. CoRR (2022)
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. ICLR (2022)
Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS (2022)
Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
A Newton Frank-Wolfe method for constrained self-concordant minimization. J. Glob. Optim. 83 (2) (2022)
Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright
On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR (2022)
Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher
Adversarial Audio Synthesis with Complex-valued Polynomial Networks. CoRR (2022)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). NeurIPS (2022)
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Proximal Point Imitation Learning. CoRR (2022)
Zhenyu Zhu, Fabian Latorre, Grigorios G. Chrysos, Volkan Cevher
Controlling the Complexity and Lipschitz Constant improves polynomial nets. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Volkan Cevher