TU1.R1: Statistical Learning
Tue, 9 Jul, 09:45 - 11:05
Location: Ballroom II & III
Session Chair: Meir Feder, Tel-Aviv University
Track: 8: Machine Learning
Tue, 9 Jul, 09:45 - 10:05

TU1.R1.1: Equivalence of Empirical Risk Minimization to Regularization on the Family of f-Divergences
Francisco Daunas, Iñaki Esnaola, University of Sheffield, United Kingdom; Samir M. Perlaza, INRIA, France; H. Vincent Poor, Princeton University, United States
Tue, 9 Jul, 10:05 - 10:25

TU1.R1.2: Error Exponent in Agnostic PAC Learning
Adi Hendel, Meir Feder, Tel Aviv University, Israel
Tue, 9 Jul, 10:25 - 10:45

TU1.R1.3: Universal Batch Learning Under The Misspecification Setting
Shlomi Vituri, Meir Feder, Tel Aviv University, Israel
Tue, 9 Jul, 10:45 - 11:05

TU1.R1.4: Minimal Communication-Cost Statistical Learning
Milad Sefidgaran, Paris Research Center, Huawei Technologies France, France; Abdellatif Zaidi, Université Gustave Eiffel, France, France; Piotr Krasnowski, Paris Research Center, Huawei Technologies France, France