Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning

20 May 2016

Papers citing "Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning"

10 / 10 papers shown

Title
Modifying Squint for Prediction with Expert Advice in a Changing Environment Thom Neuteboom T. Erven 24 1 0 14 Sep 2022
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs Chloé Rouyer Dirk van der Hoeven Nicolò Cesa-Bianchi Yevgeny Seldin 23 15 0 01 Jun 2022
Online Learning with Bounded Recall Jon Schneider Kiran Vodrahalli 23 1 0 28 May 2022
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes Peter Grünwald Thomas Steinke Lydia Zakynthinou 30 29 0 17 Jun 2021
Generalization Bounds via Information Density and Conditional Information Density Fredrik Hellström G. Durisi 27 65 0 16 May 2020
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 21 46 0 31 May 2019
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning Zakaria Mhammedi Wouter M. Koolen T. Erven 23 34 0 27 Feb 2019
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously Julian Zimmert Haipeng Luo Chen-Yu Wei 11 79 0 25 Jan 2019
Best of many worlds: Robust model selection for online supervised learning Vidya Muthukumar Mitas Ray A. Sahai Peter L. Bartlett OffRL 40 8 0 22 May 2018
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 50 71 0 01 May 2016