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.
The workshops:
Workshop 1: high-dimensional probability and statistics in ML, held from August 22 to August 24,
Workshop 2: Theory of Deep Learning, held from August 29 to August 31
(More detail is found below)
About Theme Semester:
The two workshops are part of a CHAIR theme semester on the theoretical foundations of ML. Within this theme semester, we will organize several activities during the fall of 2022 at Chalmers to promote local and international collaboration in the field of theoretical ML. These activities will be under the supervision of Dr. Babak Hassibi, Mose and Lillian S. Bohn Professor of Electrical Engineering and Computing and Mathematical Sciences at California Institute of Technology (Caltech). Dr. Hassibi will also participate in the two workshops.
Registration:
Please register by clicking here (before June 16)
Venue:
The two workshops are in presence, but will include talks with online speakers (no online audience).
The first workshop will be held at Chalmerskahuset, Södra Hamngatan 11
The second workshop will be held at Scandic Crown Hotel, Polhelmsplatsen 3
Program:
Each workshop includes talks given by the invited international speakers and local speaker, as well as discussion panels.
The detailed program can be found here
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
Organizers:
Ashkan Panahi (main contact), Assistant Professor, Computer Science Engineering, Chalmers
Giuseppe Durisi, Professor, Electrical Engineering, Chalmers
durisi@chalmers.se
Fredrik Brännström, Professor, Electrical Engineering, Chalmers
fredrik.brannstrom@chalmers.se
Johan Jonasson, Professor, Mathematical Sciences, Chalmers
jonasson@chalmers.se