Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities

10 February 2017

Papers citing "Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities"

9 / 9 papers shown

Title
Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds Shinji Ito Taira Tsuchiya Junya Honda AAML 43 17 0 14 Jun 2022
Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning Zakaria Mhammedi 103 9 0 23 May 2022
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization Jun-Kun Wang Jacob D. Abernethy Kfir Y. Levy 96 23 0 22 Nov 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems Shinji Ito 77 22 0 22 Sep 2021
Reward is enough for convex MDPs Tom Zahavy Brendan O'Donoghue Guillaume Desjardins Satinder Singh 131 76 0 01 Jun 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning T. Erven Wouter M. Koolen Dirk van der Hoeven ODL 107 23 0 12 Feb 2021
Local and Global Uniform Convexity Conditions Thomas Kerdreux Alexandre d’Aspremont Sebastian Pokutta 58 12 0 09 Feb 2021
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets Jarrid Rector-Brooks Jun-Kun Wang Barzan Mozafari 116 9 0 14 Nov 2018
Composable Core-sets for Determinant Maximization Problems via Spectral Spanners Piotr Indyk S. Mahabadi S. Gharan A. Rezaei 63 20 0 31 Jul 2018