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Research Interests:
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Biography
Volkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park, from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. He was also a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University from 2010-2020. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and an Amazon Scholar. His research interests include machine learning, optimization theory and methods, and automated control. Dr. Cevher is an IEEE Fellow (’24), an ELLIS fellow, and was the recipient of the ICML AdvML Best Paper Award in 2023, Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Publications (most recent)
Convergence to Equilibrium of No-Regret Dynamics in Congestion Games
2026. 20th International Conference on Web and Internet Economics, Edinburgh, UK, 2024-12-02 – 2024-12-05. p. 513 – 529. DOI : 10.1007/978-3-032-08560-3_29.Generalized Gradient Norm Clipping & Non-Euclidean (L 0 , L 1 )-Smoothness
2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.Efficient Large Language Model Inference with Neural Block Linearization
2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.Ascent Fails to Forget
2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.Multi-Step Alignment as Markov Games: An Optimistic Online Mirror Descent Approach with Convergence Guarantees
Transactions on Machine Learning Research. 2025. num. 12/2025.Robustness in Both Domains: CLIP Needs a Robust Text Encoder
2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.Linear Attention for Efficient Bidirectional Sequence Modeling
2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.Deep‐Learning‐Assisted SICM for Enhanced Real‐Time Imaging of Nanoscale Biological Dynamics
Small Methods. 2025. DOI : 10.1002/smtd.202501080.HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, 2025-09-09 – 2025-09-12. p. 55 – 68. DOI : 10.1007/978-3-032-04552-2_8.On the Complexity of a Simple Primal-dual Coordinate Method
MATHEMATICAL PROGRAMMING. 2025. DOI : 10.1007/s10107-025-02247-8.Accelerating Spectral Clustering under Fairness Constraints
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.Generalization of Noisy SGD in Unbounded Non-convex Settings
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.CHAMELEON: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.Training Deep Learning Models with Norm-Constrained LMOs
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.Best of Both Worlds: Regret Minimization versus Minimax Play
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.Layer-wise Quantization for Quantized Optimistic Dual Averaging
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.Adaptive Bilevel Optimization
ACM / IMS Journal of Data Science. 2025. DOI : 10.1145/3728478.Access map
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