On the Universality of Online Mirror Descent

20 July 2011

Papers citing "On the Universality of Online Mirror Descent"

22 / 22 papers shown

Title
KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization Jonathan Mei Alexander Moreno Luke Walters ODL 29 1 0 30 May 2023
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings Ryan Yang Haizhou Du Andre Wibisono Patrick Baker 16 1 0 28 Oct 2022
Non-convex online learning via algorithmic equivalence Udaya Ghai Zhou Lu Elad Hazan 14 8 0 30 May 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 26 10 0 25 Apr 2022
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability Aadirupa Saha A. Krishnamurthy 39 35 0 24 Nov 2021
Linear Bandits on Uniformly Convex Sets Thomas Kerdreux Christophe Roux Alexandre d’Aspremont Sebastian Pokutta 31 7 0 10 Mar 2021
Scaling up Mean Field Games with Online Mirror Descent Julien Perolat Sarah Perrin Romuald Elie Mathieu Laurière Georgios Piliouras M. Geist K. Tuyls Olivier Pietquin LRM AI4CE 66 65 0 28 Feb 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu-Xiang Wang Zhi-Hua Zhou 40 47 0 07 Feb 2021
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space Taisuke Kobayashi Takanori Jin 51 2 0 19 Jan 2021
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach Luofeng Liao You-Lin Chen Zhuoran Yang Bo Dai Zhaoran Wang Mladen Kolar 30 33 0 02 Jul 2020
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications Deren Lei Zichen Sun Yijun Xiao William Yang Wang 35 14 0 01 Nov 2018
Finding Mixed Nash Equilibria of Generative Adversarial Networks Ya-Ping Hsieh Chen Liu S. Chakrabartty GAN 27 91 0 23 Oct 2018
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 11 117 0 17 Apr 2018
Parameter-free online learning via model selection Dylan J. Foster Satyen Kale M. Mohri Karthik Sridharan 32 58 0 30 Dec 2017
Geometry of Optimization and Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Ruslan Salakhutdinov Nathan Srebro AI4CE 19 132 0 08 May 2017
Scale-Free Online Learning Francesco Orabona D. Pál 15 102 0 08 Jan 2016
Path-SGD: Path-Normalized Optimization in Deep Neural Networks Behnam Neyshabur Ruslan Salakhutdinov Nathan Srebro ODL 23 305 0 08 Jun 2015
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry Kunal Talwar Abhradeep Thakurta Li Zhang 22 56 0 20 Nov 2014
Online Linear Optimization via Smoothing Jacob D. Abernethy Chansoo Lee Abhinav Sinha Ambuj Tewari 46 76 0 23 May 2014
The Information Geometry of Mirror Descent Garvesh Raskutti S. Mukherjee 68 122 0 29 Oct 2013
Competing With Strategies Wei Han Alexander Rakhlin Karthik Sridharan 38 7 0 12 Feb 2013
Learning From An Optimization Viewpoint Karthik Sridharan 42 24 0 18 Apr 2012