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Regret Bounds without Lipschitz Continuity: Online Learning with
  Relative-Lipschitz Losses
v1v2 (latest)

Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses

22 October 2020
Yihan Zhou
V. S. Portella
Mark Schmidt
Nicholas J. A. Harvey
ArXiv (abs)PDFHTML

Papers citing "Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses"

9 / 9 papers shown
Title
Online Sequential Decision-Making with Unknown Delays
Online Sequential Decision-Making with Unknown Delays
Ping Wu
Heyan Huang
Zhengyang Liu
38
3
0
12 Feb 2024
A Unified Analysis for the Subgradient Methods Minimizing Composite
  Nonconvex, Nonsmooth and Non-Lipschitz Functions
A Unified Analysis for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions
Daoli Zhu
Lei Zhao
Shuzhong Zhang
111
2
0
30 Aug 2023
GBM-based Bregman Proximal Algorithms for Constrained Learning
GBM-based Bregman Proximal Algorithms for Constrained Learning
Zhenwei Lin
Qi Deng
62
1
0
21 Aug 2023
Revisiting Subgradient Method: Complexity and Convergence Beyond
  Lipschitz Continuity
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
Xiao Li
Lei Zhao
Daoli Zhu
Anthony Man-Cho So
16
3
0
23 May 2023
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
134
12
0
06 Jul 2022
Randomized Coordinate Subgradient Method for Nonsmooth Composite
  Optimization
Randomized Coordinate Subgradient Method for Nonsmooth Composite Optimization
Lei Zhao
Ding-Yuan Chen
Daoli Zhu
Xiao Li
62
1
0
30 Jun 2022
From the Greene--Wu Convolution to Gradient Estimation over Riemannian
  Manifolds
From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds
Tianyu Wang
Yifeng Huang
Didong Li
40
8
0
17 Aug 2021
Adaptive first-order methods revisited: Convex optimization without
  Lipschitz requirements
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements
Kimon Antonakopoulos
P. Mertikopoulos
57
12
0
16 Jul 2021
Smoothness Analysis of Adversarial Training
Smoothness Analysis of Adversarial Training
Sekitoshi Kanai
Masanori Yamada
Hiroshi Takahashi
Yuki Yamanaka
Yasutoshi Ida
AAML
95
6
0
02 Mar 2021
1