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Adapting to Continuous Covariate Shift via Online Density Ratio
  Estimation

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation

6 February 2023
Yu Zhang
Zhenyu Zhang
Peng Zhao
Masashi Sugiyama
    OOD
ArXivPDFHTML

Papers citing "Adapting to Continuous Covariate Shift via Online Density Ratio Estimation"

11 / 11 papers shown
Title
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
74
7
0
31 Jan 2023
Estimating and Explaining Model Performance When Both Covariates and
  Labels Shift
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen
Matei A. Zaharia
James Zou
42
17
0
18 Sep 2022
Corralling a Larger Band of Bandits: A Case Study on Switching Regret
  for Linear Bandits
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits
Haipeng Luo
Mengxiao Zhang
Peng Zhao
Zhi Zhou
58
17
0
12 Feb 2022
A Simple Approach for Non-stationary Linear Bandits
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi Zhou
50
83
0
09 Mar 2021
Continual Density Ratio Estimation in an Online Setting
Continual Density Ratio Estimation in an Online Setting
Yu Chen
Song Liu
Tom Diethe
Peter A. Flach
17
1
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
48
47
0
07 Feb 2021
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression
  Oracles
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan J. Foster
Alexander Rakhlin
155
207
0
12 Feb 2020
Online Forecasting of Total-Variation-bounded Sequences
Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby
Yu Wang
AI4TS
27
39
0
08 Jun 2019
Detecting and Correcting for Label Shift with Black Box Predictors
Detecting and Correcting for Label Shift with Black Box Predictors
Zachary Chase Lipton
Yu Wang
Alex Smola
OOD
48
548
0
12 Feb 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
343
9,418
0
28 May 2015
Non-stationary Stochastic Optimization
Non-stationary Stochastic Optimization
Omar Besbes
Y. Gur
A. Zeevi
109
430
0
20 Jul 2013
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