An Information-theoretic Approach to Distribution Shifts

An Information-theoretic Approach to Distribution Shifts

7 June 2021

Papers citing "An Information-theoretic Approach to Distribution Shifts"

19 / 19 papers shown

Title
Domain Adaptation and Entanglement: an Optimal Transport Perspective Okan Koç Alexander Soen Chao-Kai Chiang Masashi Sugiyama OOD AAML 67 0 0 11 Mar 2025
Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning George Jiayuan Gao Tianyu Li Nadia Figueroa 38 0 0 05 Nov 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 39 2 0 03 Aug 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights You-Wei Luo Chuan-Xian Ren OOD 40 1 0 24 Jun 2024
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis Yuxin Dong Tieliang Gong Hong Chen Shuangyong Song Weizhan Zhang Chen Li OOD 39 0 0 14 Jun 2024
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 25 16 0 18 Nov 2023
Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer Alice Bizeul Emanuele Palumbo Alexander Marx Julia E. Vogt 32 38 0 16 Mar 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 185 22 0 20 Oct 2022
Measuring and signing fairness as performance under multiple stakeholder distributions David Lopez-Paz Diane Bouchacourt Levent Sagun Nicolas Usunier 24 7 0 20 Jul 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 23 11 0 19 Jun 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 20 22 0 16 May 2022
Testing robustness of predictions of trained classifiers against naturally occurring perturbations S. Scher A. Trugler OOD AAML 25 1 0 21 Apr 2022
A benchmark with decomposed distribution shifts for 360 monocular depth estimation G. Albanis N. Zioulis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras MDE 34 0 0 01 Dec 2021
Deep Visual Domain Adaptation G. Csurka OOD 138 185 0 28 Dec 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 174 104 0 25 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009