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Distribution-Free One-Pass Learning

Distribution-Free One-Pass Learning

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017
8 June 2017
Peng Zhao
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Distribution-Free One-Pass Learning"

15 / 15 papers shown
Theoretically Guaranteed Distribution Adaptable Learning
Theoretically Guaranteed Distribution Adaptable Learning
Chao Xu
Xijia Tang
Guoqing Liu
Yuhua Qian
Chenping Hou
OOD
292
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
145
4
0
29 May 2024
A Generalized Unbiased Risk Estimator for Learning with Augmented
  Classes
A Generalized Unbiased Risk Estimator for Learning with Augmented ClassesAAAI Conference on Artificial Intelligence (AAAI), 2023
Senlin Shu
Shuo He
Haobo Wang
Jianguo Huang
Tao Xiang
Lei Feng
204
4
0
12 Jun 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Revisiting Weighted Strategy for Non-stationary Parametric BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jing Wang
Peng Zhao
Zhihong Zhou
368
8
0
05 Mar 2023
ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-SquaresIEEE Conference on Decision and Control (CDC), 2022
Youngjae Min
Kwangjun Ahn
Navid Azizan
414
24
0
28 Jul 2022
Open-environment Machine Learning
Open-environment Machine LearningNational Science Review (NSR), 2022
Zhi Zhou
VLM
393
178
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 OptimizationJournal of machine learning research (JMLR), 2021
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
433
89
0
29 Dec 2021
A Simple Approach for Non-stationary Linear Bandits
A Simple Approach for Non-stationary Linear BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi Zhou
346
97
0
09 Mar 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic ControlInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Peng Zhao
Yu-Hu Yan
Yu Wang
Zhi Zhou
643
54
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
190
0
0
30 Sep 2020
An Unbiased Risk Estimator for Learning with Augmented Classes
An Unbiased Risk Estimator for Learning with Augmented ClassesNeural Information Processing Systems (NeurIPS), 2019
Yu Zhang
Peng Zhao
Zhi Zhou
266
30
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 BeyondAAAI Conference on Artificial Intelligence (AAAI), 2019
Jianjun Yuan
Andrew G. Lamperski
279
25
0
06 Sep 2019
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization in Non-stationary EnvironmentsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
254
58
0
29 Jul 2019
Handling Concept Drift via Model Reuse
Handling Concept Drift via Model Reuse
Peng Zhao
Le-Wen Cai
Zhi Zhou
229
63
0
08 Sep 2018
Learning with Feature Evolvable Streams
Learning with Feature Evolvable Streams
Bo-Jian Hou
Lijun Zhang
Zhi Zhou
198
81
0
16 Jun 2017
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