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2505.17277
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Comparator-Adaptive
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-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
22 May 2025
Soumita Hait
Ping Li
Haipeng Luo
Mengxiao Zhang
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Papers citing
"Comparator-Adaptive $Φ$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games"
7 / 7 papers shown
Title
Faster Rates for No-Regret Learning in General Games via Cautious Optimism
Ashkan Soleymani
Georgios Piliouras
Gabriele Farina
74
1
0
31 Mar 2025
Sparsity-Based Interpolation of External, Internal and Swap Regret
Zhou Lu
Y. Jennifer Sun
Zhiyu Zhang
57
1
0
06 Feb 2025
Near-Optimal No-Regret Learning Dynamics for General Convex Games
Gabriele Farina
Ioannis Anagnostides
Haipeng Luo
Chung‐Wei Lee
Christian Kroer
Tuomas Sandholm
33
27
0
17 Jun 2022
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
Gabriele Farina
Chung-Wei Lee
Haipeng Luo
Christian Kroer
29
31
0
01 Feb 2022
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
Ioannis Anagnostides
C. Daskalakis
Gabriele Farina
Maxwell Fishelson
Noah Golowich
Tuomas Sandholm
86
55
0
11 Nov 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications
Liyu Chen
Haipeng Luo
Chen-Yu Wei
71
44
0
01 Feb 2021
Optimization, Learning, and Games with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
57
377
0
08 Nov 2013
1