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)

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

P. T. Y. Rolland; V. Cevher; M. Kleindessner; C. Russel; B. Schölkopf et al. 

2022. 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland, USA, July 17-23, 2022.

Learning to sample in Cartesian MRI

T. Sanchez / V. Cevher (Dir.)  

Lausanne, EPFL, 2022. 

A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS

A. Uran; K. Türe; C. Aprile; A. Trouillet; F. Fallegger et al. 

IEEE Journal of Solid-State Circuits. 2022.  p. 1-1. DOI : 10.1109/JSSC.2022.3161296.

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

G. Dresdner; M-L. Vladarean; G. Rätsch; F. Locatello; V. Cevher et al. 

2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.

High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize

A. Kavis; K. Levy; V. Cevher 

2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.

Contact

e-mail address: [email protected]


telephone: 0041 21 6930111


Additional links