A new similarity measure for covariate shift with applications to nonparametric regression

6 February 2022

Papers citing "A new similarity measure for covariate shift with applications to nonparametric regression"

25 / 25 papers shown

Title
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 44 0 0 11 Mar 2025
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation Boxin Zhao Cong Ma Mladen Kolar 77 1 0 23 Nov 2024
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift Fabian Diet Moussa Kassem Sbeyti Michelle Karg 41 0 0 05 Sep 2024
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Mitsuhiro Fujikawa Yohei Akimoto Jun Sakuma Kazuto Fukuchi 37 0 0 27 May 2024
Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime Kuo-Wei Lai Vidya Muthukumar 36 0 0 10 May 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems Yue Zhao Yuxuan Li Chenang Liu Yinan Wang 22 0 0 31 Mar 2024
Transfer Learning Beyond Bounded Density Ratios Alkis Kalavasis Ilias Zadik Manolis Zampetakis 50 4 0 18 Mar 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 31 1 0 11 Mar 2024
On the design-dependent suboptimality of the Lasso Reese Pathak Cong Ma 35 4 0 01 Feb 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning P. Amortila Tongyi Cao Akshay Krishnamurthy OffRL OOD 46 2 0 22 Jan 2024
Transfer Learning under Covariate Shift: Local $k$ -Nearest Neighbours Regression with Heavy-Tailed Design Petr Zamolodtchikov Hanyuan Hang OOD 15 0 0 21 Jan 2024
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models Namjoon Suh Guang Cheng MedIm 30 12 0 14 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 40 1 0 29 Dec 2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift Xingdong Feng Xin He Caixing Wang Chao Wang Jingnan Zhang 33 7 0 12 Oct 2023
Covariate shift in nonparametric regression with Markovian design Lukas Trottner 23 0 0 17 Jul 2023
Classification Tree Pruning Under Covariate Shift Nicholas Galbraith Samory Kpotufe 30 1 0 07 May 2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints Reese Pathak Martin J. Wainwright Lin Xiao 36 5 0 22 Mar 2023
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? Davit Gogolashvili Matteo Zecchin Motonobu Kanagawa Marios Kountouris Maurizio Filippone 30 7 0 07 Mar 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift Kaizheng Wang 32 10 0 20 Feb 2023
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 39 16 0 22 Nov 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift Jingfeng Wu Difan Zou Vladimir Braverman Quanquan Gu Sham Kakade 14 16 0 03 Aug 2022
Optimally tackling covariate shift in RKHS-based nonparametric regression Cong Ma Reese Pathak Martin J. Wainwright 11 41 0 06 May 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 75 23 0 10 Feb 2022
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 97 123 0 19 May 2012
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 790 0 19 Feb 2009