Combining Online Learning Guarantees

24 February 2019

Papers citing "Combining Online Learning Guarantees"

13 / 13 papers shown

Title
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 78 6 0 26 May 2024
Mechanic: A Learning Rate Tuner Ashok Cutkosky Aaron Defazio Harsh Mehta OffRL 127 18 0 31 May 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 139 9 0 31 Jan 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning Junfan Li Shizhong Liao 120 3 0 26 Dec 2022
Parameter-free Regret in High Probability with Heavy Tails Jiujia Zhang Ashok Cutkosky 75 20 0 25 Oct 2022
Parameter-free Mirror Descent Andrew Jacobsen Ashok Cutkosky 117 34 0 26 Feb 2022
Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting J. Jon Ryu Alankrita Bhatt Young-Han Kim 57 1 0 04 Feb 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning Zhiyu Zhang Ashok Cutkosky I. Paschalidis 100 27 0 19 Jan 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 122 50 0 29 Dec 2021
Online Learning with Optimism and Delay Genevieve Flaspohler Francesco Orabona J. Cohen Soukayna Mouatadid Miruna Oprescu Paulo Orenstein Lester W. Mackey 110 35 0 13 Jun 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications Liyu Chen Haipeng Luo Chen-Yu Wei 115 45 0 01 Feb 2021
Online Linear Optimization with Many Hints Aditya Bhaskara Ashok Cutkosky Ravi Kumar Manish Purohit 147 18 0 06 Oct 2020
Online Learning with Imperfect Hints Aditya Bhaskara Ashok Cutkosky Ravi Kumar Manish Purohit 121 58 0 11 Feb 2020