Prof. Volkan Cevher

Research Interests:

  • Machine Learning
  • Optimization
  • Signal Processing
  • Information Theory

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. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include signal processing theory, machine learning, convex optimization, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research Award on Machine Learning in 2018, 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)

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Y. Wu; Z. Zhu; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.

Predicting in Uncertain Environments: Methods for Robust Machine Learning

P. T. Y. Rolland / V. Cevher (Dir.)  

Lausanne, EPFL, 2022. 

Generalization Properties of NAS under Activation and Skip Connection Search

Z. Zhu; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Z. Zhu; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.

On the Double Descent of Random Features Models Trained with SGD

F. Liu; A. J. Suykens; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 – December 3, 2022.

Contact

e-mail address: [email protected]


telephone: 0041 21 6930111


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