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Distribution-Free One-Pass Learning

Distribution-Free One-Pass Learning

8 June 2017
Peng Zhao
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Distribution-Free One-Pass Learning"

14 / 14 papers shown
Title
Theoretically Guaranteed Distribution Adaptable Learning
Theoretically Guaranteed Distribution Adaptable Learning
Chao Xu
Xijia Tang
Guoqing Liu
Yuhua Qian
Chenping Hou
OOD
123
0
0
05 Nov 2024
Distributed Management of Fluctuating Energy Resources in Dynamic
  Networked Systems
Distributed Management of Fluctuating Energy Resources in Dynamic Networked Systems
Xiaotong Cheng
Ioannis Tsetis
S. Maghsudi
29
0
0
29 May 2024
A Generalized Unbiased Risk Estimator for Learning with Augmented
  Classes
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes
Senlin Shu
Shuo He
Haobo Wang
Jianguo Huang
Tao Xiang
Lei Feng
65
4
0
12 Jun 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Jing Wang
Peng Zhao
Zhihong Zhou
113
7
0
05 Mar 2023
Open-environment Machine Learning
Open-environment Machine Learning
Zhi Zhou
VLM
160
157
0
01 Jun 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for
  Online Convex Optimization
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
153
62
0
29 Dec 2021
A Simple Approach for Non-stationary Linear Bandits
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi Zhou
119
89
0
09 Mar 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu Wang
Zhi Zhou
344
49
0
07 Feb 2021
Online Convex Optimization in Changing Environments and its Application
  to Resource Allocation
Online Convex Optimization in Changing Environments and its Application to Resource Allocation
Jianjun Yuan
50
0
0
30 Sep 2020
An Unbiased Risk Estimator for Learning with Augmented Classes
An Unbiased Risk Estimator for Learning with Augmented Classes
Yu Zhang
Peng Zhao
Zhi Zhou
109
29
0
21 Oct 2019
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
Jianjun Yuan
Andrew G. Lamperski
98
24
0
06 Sep 2019
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
138
49
0
29 Jul 2019
Handling Concept Drift via Model Reuse
Handling Concept Drift via Model Reuse
Peng Zhao
Le-Wen Cai
Zhi Zhou
103
61
0
08 Sep 2018
Learning with Feature Evolvable Streams
Learning with Feature Evolvable Streams
Bo-Jian Hou
Lijun Zhang
Zhi Zhou
68
73
0
16 Jun 2017
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