Variance-based regularization with convex objectives

8 October 2016

Papers citing "Variance-based regularization with convex objectives"

12 / 12 papers shown

Title
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs Nicolas Le Roux Marc G. Bellemare Jonathan Lebensold Arnaud Bergeron Joshua Greaves Alex Fréchette Carolyne Pelletier Eric Thibodeau-Laufer Sándor Toth Sam Work OffRL 143 5 0 18 Mar 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 121 3 0 04 Feb 2025
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 160 2 0 23 Jun 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 109 2 0 29 May 2024
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Adam N. Elmachtoub Henry Lam Haofeng Zhang Yunfan Zhao 144 6 0 13 Apr 2023
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 86 49 0 09 Mar 2022
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems Jiawei Zhang Peijun Xiao Ruoyu Sun Zhi-Quan Luo 102 99 0 29 Oct 2020
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 110 54 0 28 Oct 2019
Oracle-Based Robust Optimization via Online Learning A. Ben-Tal Elad Hazan Tomer Koren Shie Mannor 63 75 0 25 Feb 2014
Learning without Concentration S. Mendelson 219 333 0 01 Jan 2014
Optimistic Rates for Learning with a Smooth Loss Nathan Srebro Karthik Sridharan Ambuj Tewari 153 283 0 20 Sep 2010
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 375 542 0 21 Jul 2009