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Improving Adaptive Online Learning Using Refined Discretization
International Conference on Algorithmic Learning Theory (ALT), 2023
27 September 2023
Zhiyu Zhang
Heng Yang
Ashok Cutkosky
I. Paschalidis
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Papers citing
"Improving Adaptive Online Learning Using Refined Discretization"
8 / 8 papers shown
Title
Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
Dhruv Sarkar
Abhishek Sinha
63
0
0
26 Oct 2025
Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications
Weiyuan Gong
Tongyang Li
Xinzhao Wang
Zhiyu Zhang
132
0
0
10 Sep 2025
Online Aggregation of Trajectory Predictors
IEEE International Conference on Robotics and Automation (ICRA), 2025
Alex Tong
Apoorva Sharma
Sushant Veer
Marco Pavone
Heng Yang
OffRL
266
2
0
11 Feb 2025
An Equivalence Between Static and Dynamic Regret Minimization
Andrew Jacobsen
Francesco Orabona
203
5
0
03 Jun 2024
Fully Unconstrained Online Learning
Ashok Cutkosky
Zakaria Mhammedi
CLL
151
5
0
30 May 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
218
10
0
26 May 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
251
11
0
05 Feb 2024
New Potential-Based Bounds for Prediction with Expert Advice
Annual Conference Computational Learning Theory (COLT), 2019
Vladimir A. Kobzar
R. Kohn
Zhilei Wang
403
21
0
05 Nov 2019
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