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Optimization, Learning, and Games with Predictable Sequences

Optimization, Learning, and Games with Predictable Sequences

8 November 2013
Alexander Rakhlin
Karthik Sridharan
ArXivPDFHTML

Papers citing "Optimization, Learning, and Games with Predictable Sequences"

12 / 12 papers shown
Title
Comparator-Adaptive $Φ$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Comparator-Adaptive ΦΦΦ-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Soumita Hait
Ping Li
Haipeng Luo
Mengxiao Zhang
69
0
0
22 May 2025
The Hamiltonian of Poly-matrix Zero-sum Games
The Hamiltonian of Poly-matrix Zero-sum Games
Toshihiro Ota
Yuma Fujimoto
AI4CE
52
0
0
19 May 2025
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Yuheng Zhang
Dian Yu
Tao Ge
Linfeng Song
Zhichen Zeng
Haitao Mi
Nan Jiang
Dong Yu
95
4
0
24 Feb 2025
On the Interplay between Social Welfare and Tractability of Equilibria
On the Interplay between Social Welfare and Tractability of Equilibria
Ioannis Anagnostides
Tuomas Sandholm
90
2
0
10 Jan 2025
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
Davide Legacci
P. Mertikopoulos
Christos H. Papadimitriou
Georgios Piliouras
Bary S. R. Pradelski
62
2
0
31 Dec 2024
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Yuheng Zhang
Dian Yu
Baolin Peng
Linfeng Song
Ye Tian
Mingyue Huo
Nan Jiang
Haitao Mi
Dong Yu
113
16
0
30 Jun 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Yang Cai
Gabriele Farina
Julien Grand-Clément
Christian Kroer
Chung-Wei Lee
Haipeng Luo
Weiqiang Zheng
70
6
0
15 Jun 2024
Minimax Estimation of Conditional Moment Models
Minimax Estimation of Conditional Moment Models
Nishanth Dikkala
Greg Lewis
Lester W. Mackey
Vasilis Syrgkanis
123
100
0
12 Jun 2020
Taking a hint: How to leverage loss predictors in contextual bandits?
Taking a hint: How to leverage loss predictors in contextual bandits?
Chen-Yu Wei
Haipeng Luo
Alekh Agarwal
61
27
0
04 Mar 2020
Adaptive Sampling for Stochastic Risk-Averse Learning
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi
Kfir Y. Levy
Stefanie Jegelka
Andreas Krause
64
53
0
28 Oct 2019
Parallel Streaming Wasserstein Barycenters
Parallel Streaming Wasserstein Barycenters
Matthew Staib
Sebastian Claici
Justin Solomon
Stefanie Jegelka
29
89
0
21 May 2017
Online Learning with Predictable Sequences
Online Learning with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
112
355
0
18 Aug 2012
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