A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds

8 September 2017

Papers citing "A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds"

11 / 11 papers shown

Title
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices Lixing Lyu Jiashuo Jiang Wang Chi Cheung 83 1 0 24 Feb 2025
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees Yongtao Wu Luca Viano Yihang Chen Zhenyu Zhu Kimon Antonakopoulos Quanquan Gu Volkan Cevher 171 1 0 18 Feb 2025
Optimistic Meta-Gradients Sebastian Flennerhag Tom Zahavy Brendan O'Donoghue Hado van Hasselt András Gyorgy Satinder Singh 81 3 0 09 Jan 2023
Optimistic Optimisation of Composite Objective with Exponentiated Update Weijia Shao F. Sivrikaya S. Albayrak 108 3 0 08 Aug 2022
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness Sarah Sachs Hédi Hadiji T. Erven Cristóbal Guzmán 139 17 0 15 Feb 2022
Online Learning with Optimism and Delay Genevieve Flaspohler Francesco Orabona J. Cohen Soukayna Mouatadid Miruna Oprescu Paulo Orenstein Lester W. Mackey 94 35 0 13 Jun 2021
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos AI4CE 84 30 0 21 Dec 2020
Adaptive Approximate Policy Iteration Botao Hao N. Lazić Yasin Abbasi-Yadkori Pooria Joulani Csaba Szepesvári 90 14 0 08 Feb 2020
Unifying mirror descent and dual averaging A. Juditsky Joon Kwon Eric Moulines 92 29 0 30 Oct 2019
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond Oliver Hinder Aaron Sidford N. Sohoni 71 72 0 27 Jun 2019
Constant Regret, Generalized Mixability, and Mirror Descent Zakaria Mhammedi Robert C. Williamson 46 7 0 20 Feb 2018