Faculty Colloquium: On empirical risk minimization and its variants for statistical learning. Speaker: Quentin Paris, HSE
Event ended
January 23, 18:10 – 19:30
Quentin Paris, HSE
On empirical risk minimization and its variants for statistical learning
In this talk, we review fundamental principles of empirical risk minimization and its performance guarantees for statistical learning. We discuss the close interaction with the field of empirical processes and the connection to Vapnik–Chervonenkis combinatorics (including the notion of combinatorial dimension). We present the best known theoretical guarantees for the prediction error of empirical risk minimizers, discuss the limitations of the method, and mention some recent contributions.
Venue:
Moscow, Kochnovsky pr.,3, room 205, 18:10
Everyone interested is welcome to attend.
If you need a pass to HSE, please contact computerscience@hse.ru
Date
January 23, 2018 18:10