Prof. Volkan Cevher

Research Interests:

  • Machine Learning
  • Optimization
  • Signal Processing
  • Information Theory


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)

On the Generalization of Stochastic Gradient Descent with Momentum

A. Ramezani-Kebrya; K. Antonakopoulos; V. Cevher; A. Khisti; B. Liang 

Journal Of Machine Learning Research. 2024-01-01. Vol. 25, p. 1-56.

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

M. Atzeni / P. Vandergheynst; A. Loukas (Dir.)  

Lausanne, EPFL, 2024. 

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

A. Koloskova / M. Jaggi; S. U. Stich (Dir.)  

Lausanne, EPFL, 2024. 

Robust machine learning for neuroscientific inference

S. Schneider / M. Mathis; M. Bethge (Dir.)  

Lausanne, EPFL, 2024. 

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks

J. Ye†; Z. Zhu; F. Liu; R. Shokri; V. Cevher 

2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.


e-mail address: [email protected]

telephone: 0041 21 6930111

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