Machine learning (ML) has made a great impact in various academic and application fields, but little is known about the fundamental principles behind its success. The unprecedented scale and complexity of the modern ML technologies requires new techniques for studying, analyzing and improving their performance, which has been a focal point of the contemporary research on the theory of ML. Chalmers University of Technology is organizing two consecutive workshops to bring together prominent international and national researchers on the theory of ML to address the fundamental questions in this field. Supported by the Chalmers AI Research Center (CHAIR), these workshops are a part of a theme semester on the theoretical foundations of ML.

Invited Speakers:

First Workshop:

Alfred O Hero: John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan, Ann Arbor.

Yue Lu: Gordon McKay Professor of Electrical Engineering and of Applied Mathematics at the Harvard John A. Paulson School of Engineering and Applied Sciences

Samet Oymak: Assistant Professor of Electrical and Computer Eng, UC Riverside and cooperating Faculty with Computer Science

Second Workshop:

Christos Thrampoulidis: Assistant Professor at the Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC)

Mahdi Soltanolkotabi: Associate professor (Andrew and Erna Viterbi Early Career Chair) at Ming Hsieh Department of Electrical and Computer Engineering and Computer Science at the University of Southern California

Bruno Loureiro: Researcher at École Polytechnique Fédérale de Lausanne (EPFL), Institute of Physics and Institute of Electrical Engineering

Online Speakers:

Vahid Tarokh: Rhodes Family Distinguished Professor of Electrical and Computer Engineering and Professor of Mathematics at Duke University, NC, USA.

Pragya Sur: Assistant Professor oat the Department of Statistics at Harvard University

Arnulf JENTZEN: Professor for Applied Mathematics and Computer Science at the University of Münster Presidential, and Chair Professor at The Chinese University of Hong Kong, Shenzhen.

Maxim Raginsky: William L. Everitt Associate Professor at Department of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign

Diyora Salimova: Junior Professor Department for Applied Mathematics, Mathematical Institute, Albert-Ludwigs-University of Freiburg

Alexandros G. Dimakis: Professor, Dept. of ECE and Co-Director of the National AI Institute for Foundations of Machine Learning, University of Texas at Austin