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Near Optimal Memory-Regret Tradeoff for Online Learning

Near Optimal Memory-Regret Tradeoff for Online Learning

3 March 2023
Binghui Peng
A. Rubinstein
    CLL
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Papers citing "Near Optimal Memory-Regret Tradeoff for Online Learning"

12 / 12 papers shown
Title
Communication Bounds for the Distributed Experts Problem
Zhihao Jia
Qi Pang
Trung Tran
David Woodruff
Zhihao Zhang
Wenting Zheng
60
0
0
06 Jan 2025
Fine-grained Attention I/O Complexity: Comprehensive Analysis for
  Backward Passes
Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
Yufa Zhou
54
15
0
12 Oct 2024
The complexity of approximate (coarse) correlated equilibrium for
  incomplete information games
The complexity of approximate (coarse) correlated equilibrium for incomplete information games
Binghui Peng
Aviad Rubinstein
30
2
0
04 Jun 2024
Understanding Memory-Regret Trade-Off for Streaming Stochastic
  Multi-Armed Bandits
Understanding Memory-Regret Trade-Off for Streaming Stochastic Multi-Armed Bandits
Yuchen He
Zichun Ye
Chihao Zhang
25
3
0
30 May 2024
Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory
  Tradeoff for Feasibility Problems
Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory Tradeoff for Feasibility Problems
Moise Blanchard
43
1
0
10 Apr 2024
The I/O Complexity of Attention, or How Optimal is Flash Attention?
The I/O Complexity of Attention, or How Optimal is Flash Attention?
Barna Saha
Christopher Ye
26
5
0
12 Feb 2024
The sample complexity of multi-distribution learning
The sample complexity of multi-distribution learning
Binghui Peng
41
8
0
07 Dec 2023
Memory-Query Tradeoffs for Randomized Convex Optimization
Memory-Query Tradeoffs for Randomized Convex Optimization
Xinyu Chen
Binghui Peng
36
6
0
21 Jun 2023
Streaming Algorithms for Learning with Experts: Deterministic Versus
  Robust
Streaming Algorithms for Learning with Experts: Deterministic Versus Robust
David P. Woodruff
Fred Zhang
Samson Zhou
18
6
0
03 Mar 2023
Near-Optimal No-Regret Learning for Correlated Equilibria in
  Multi-Player General-Sum Games
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
Ioannis Anagnostides
C. Daskalakis
Gabriele Farina
Maxwell Fishelson
Noah Golowich
T. Sandholm
56
53
0
11 Nov 2021
Smoothed Analysis with Adaptive Adversaries
Smoothed Analysis with Adaptive Adversaries
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
AAML
54
49
0
16 Feb 2021
When is Memorization of Irrelevant Training Data Necessary for
  High-Accuracy Learning?
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
253
93
0
11 Dec 2020
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