Volkan Cevher

Volkan Cevher

École Polytechnique Fédérale de Lausanne

H-index: 60

Europe-Switzerland

About Volkan Cevher

Volkan Cevher, With an exceptional h-index of 60 and a recent h-index of 43 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Machine Learning, Optimization, Signal Processing, Information Theory, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Efficient Online Clustering with Moving Costs

Exponential Lower Bounds for Fictitious Play in Potential Games

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games

Extreme Miscalibration and the Illusion of Adversarial Robustness

On the convergence of encoder-only shallow transformers

Initialization matters: Privacy-utility analysis of overparameterized neural networks

MADA: Meta-Adaptive Optimizers through hyper-gradient Descent

Volkan Cevher Information

University

Position

Associate Professor Laboratory for Information and Inference Systems

Citations(all)

13554

Citations(since 2020)

7120

Cited By

9419

hIndex(all)

60

hIndex(since 2020)

43

i10Index(all)

201

i10Index(since 2020)

145

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Volkan Cevher Skills & Research Interests

Machine Learning

Optimization

Signal Processing

Information Theory

Statistics

Top articles of Volkan Cevher

Title

Journal

Author(s)

Publication Date

Generalization of Scaled Deep ResNets in the Mean-Field Regime

arXiv preprint arXiv:2403.09889

Yihang Chen

Fanghui Liu

Yiping Lu

Grigorios G Chrysos

Volkan Cevher

2024/3/14

Efficient Online Clustering with Moving Costs

Advances in Neural Information Processing Systems

Dimitrios Christou

Stratis Skoulakis

Volkan Cevher

2024/2/13

Exponential Lower Bounds for Fictitious Play in Potential Games

Advances in Neural Information Processing Systems

Ioannis Panageas

Nikolas Patris

Stratis Skoulakis

Volkan Cevher

2024/2/13

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games

arXiv preprint arXiv:2401.09628

Leello Dadi

Ioannis Panageas

Stratis Skoulakis

Luca Viano

Volkan Cevher

2024/1/17

Extreme Miscalibration and the Illusion of Adversarial Robustness

arXiv preprint arXiv:2402.17509

Vyas Raina

Samson Tan

Volkan Cevher

Aditya Rawal

Sheng Zha

...

2024/2/27

On the convergence of encoder-only shallow transformers

Yongtao Wu

Fanghui Liu

Grigorios Chrysos

Volkan Cevher

2023/11/2

Initialization matters: Privacy-utility analysis of overparameterized neural networks

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Jiayuan Ye

Zhenyu Zhu

Fanghui Liu

Reza Shokri

Volkan Cevher

2023/10/31

MADA: Meta-Adaptive Optimizers through hyper-gradient Descent

arXiv preprint arXiv:2401.08893

Kaan Ozkara

Can Karakus

Parameswaran Raman

Mingyi Hong

Shoham Sabach

...

2024/1/17

Truly No-Regret Learning in Constrained MDPs

arXiv preprint arXiv:2402.15776

Adrian Müller

Pragnya Alatur

Volkan Cevher

Giorgia Ramponi

Niao He

2024/2/24

Maximum Independent Set: Self-Training through Dynamic Programming

Advances in Neural Information Processing Systems

Lorenzo Brusca

Lars CPM Quaedvlieg

Stratis Skoulakis

Grigorios Chrysos

Volkan Cevher

2024/2/13

Universal Gradient Methods for Stochastic Convex Optimization

arXiv preprint arXiv:2402.03210

Anton Rodomanov

Ali Kavis

Yongtao Wu

Kimon Antonakopoulos

Volkan Cevher

2024/2/5

Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate

arXiv preprint arXiv:2401.03058

Ruichen Jiang

Parameswaran Raman

Shoham Sabach

Aryan Mokhtari

Mingyi Hong

...

2024/1/5

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

arXiv preprint arXiv:2404.18769

Fanghui Liu

Leello Dadi

Volkan Cevher

2024/4/29

Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks

arXiv preprint arXiv:2402.09177

Yixin Cheng

Markos Georgopoulos

Volkan Cevher

Grigorios G Chrysos

2024/2/14

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling

Advances in Neural Information Processing Systems

Zhenyu Zhu

Francesco Locatello

Volkan Cevher

2024/2/13

Multilinear Operator Networks

arXiv preprint arXiv:2401.17992

Yixin Cheng

Grigorios G Chrysos

Markos Georgopoulos

Volkan Cevher

2024/1/31

Robust NAS under adversarial training: benchmark, theory, and beyond

arXiv preprint arXiv:2403.13134

Yongtao Wu

Fanghui Liu

Carl-Johann Simon-Gabriel

Grigorios G Chrysos

Volkan Cevher

2024/3/19

Alternation makes the adversary weaker in two-player games

Volkan Cevher

Ashok Cutkosky

Ali Kavis

Georgios Piliouras

Stratis Skoulakis

...

2023/11/2

Stable nonconvex-nonconcave training via linear interpolation

Advances in Neural Information Processing Systems

Thomas Pethick

Wanyun Xie

Volkan Cevher

2024/2/13

Efficient local linearity regularization to overcome catastrophic overfitting

Elias Abad Rocamora

Fanghui Liu

Grigorios G Chrysos

Pablo M Olmos

Volkan Cevher

2024/1/21

See List of Professors in Volkan Cevher University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 61
Joel A. Tropp

Joel A. Tropp

California Institute of Technology

H-index: 50
Marco F. Duarte

Marco F. Duarte

University of Massachusetts Amherst

H-index: 37
Aswin C Sankaranarayanan

Aswin C Sankaranarayanan

Carnegie Mellon University

H-index: 32
Quoc Tran-Dinh

Quoc Tran-Dinh

University of North Carolina at Chapel Hill

H-index: 30
Jonathan Scarlett

Jonathan Scarlett

National University of Singapore

H-index: 30
Chinmay Hegde

Chinmay Hegde

New York University

academic-engine