Relative Density-Ratio Estimation for Robust Distribution Comparison

23 June 2011

Papers citing "Relative Density-Ratio Estimation for Robust Distribution Comparison"

50 / 90 papers shown

Title
Projection Pursuit Density Ratio Estimation Meilin Wang Wei Huang Mingming Gong Zheng Zhang 53 0 0 01 Jun 2025
Computational Efficiency under Covariate Shift in Kernel Ridge Regression Andrea Della Vecchia Arnaud Mavakala Watusadisi Ernesto De Vito Lorenzo Rosasco 49 0 0 20 May 2025
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng 81 0 0 07 May 2025
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data Xiaobo Ma Hyunsoo Noh Ryan Hatch James Tokishi Zepu Wang 109 0 0 25 Mar 2025
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery Alexander Olza David Soto Roberto Santana 75 0 0 28 Jan 2025
Mitigating covariate shift in non-colocated data with learned parameter priors Behraj Khan Behroz Mirza Nouman Durrani T. Syed 42 0 0 10 Nov 2024
Causal Discovery-Driven Change Point Detection in Time Series Shanyun Gao Raghavendra Addanki Tong Yu Ryan Rossi Murat Kocaoglu AI4TS 65 1 0 10 Jul 2024
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds Masanari Kimura H. Bondell 87 5 0 27 Jun 2024
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 80 1 0 06 Jun 2024
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift Nicolas Acevedo Carmen Cortez Christopher A. Brooks René F. Kizilcec Renzhe Yu 48 0 0 23 May 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 214 3 0 20 May 2024
Time Series Representation Learning with Supervised Contrastive Temporal Transformer Yuansan Liu S. Wijewickrema C. Bester Stephen O'Leary James Bailey AI4TS 82 1 0 16 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 103 8 0 15 Mar 2024
Collaborative non-parametric two-sample testing Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 92 0 0 08 Feb 2024
Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional Anna Guo David Benkeser Razieh Nabi CML 61 3 0 15 Dec 2023
Nearest Neighbor Sampling for Covariate Shift Adaptation Franccois Portier Lionel Truquet Ikko Yamane OffRL 39 1 0 15 Dec 2023
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 59 1 0 03 Nov 2023
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment Ganning Zhao Wenhui Cui Suya You C.-C. Jay Kuo 66 2 0 08 Oct 2023
Some notes concerning a generalized KMM-type optimization method for density ratio estimation C. Alecsa 18 0 0 14 Sep 2023
Population Expansion for Training Language Models with Private Federated Learning Tatsuki Koga Congzheng Song Martin Pelikan Mona Chitnis FedML 50 1 0 14 Jul 2023
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living S. Chatterjee Bivas Mitra Sandip Chakraborty HAI 26 0 0 22 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos Volkan Cevher FedML OOD 99 8 0 08 Jun 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama OOD 100 6 0 24 May 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 82 1 0 24 May 2023
Double-Weighting for Covariate Shift Adaptation José I. Segovia-Martín Santiago Mazuelas Anqi Liu 74 7 0 15 May 2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints Ganning Zhao Ting-Li Shen Suya You C.-C. Jay Kuo 68 5 0 25 Apr 2023
Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura H. Hino OOD 61 7 0 19 Apr 2023
Federated Covariate Shift Adaptation for Missing Target Output Values Yaqian Xu Wenquan Cui Jianjun Xu Haoyang Cheng FedML 40 1 0 28 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 85 13 0 06 Feb 2023
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation Alejandro de la Concha Argyris Kalogeratos Nicolas Vayatis 41 0 0 08 Jan 2023
Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen Matei A. Zaharia James Zou 64 18 0 18 Sep 2022
Fast and Accurate Importance Weighting for Correcting Sample Bias Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis 90 7 0 09 Sep 2022
Latent Neural Stochastic Differential Equations for Change Point Detection Artem Sergeevich Ryzhikov M. Hushchyn D. Derkach 66 2 0 22 Aug 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 57 4 0 29 Jun 2022
A Contrastive Approach to Online Change Point Detection Artur Goldman Nikita Puchkin Valeriia Shcherbakova Uliana Vinogradova 84 7 0 21 Jun 2022
Collaborative likelihood-ratio estimation over graphs Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 71 1 0 28 May 2022
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation George De Ath Tinkle Chugh Alma A. M. Rahat 75 4 0 31 Mar 2022
Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio Taisuke Kobayashi 62 5 0 18 Mar 2022
Importance Weighting Approach in Kernel Bayes' Rule Liyuan Xu Yutian Chen Arnaud Doucet Arthur Gretton 131 1 0 05 Feb 2022
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics Masahiro Kato Masaaki Imaizumi Kentaro Minami 71 0 0 31 Jan 2022
Unsupervised Change Detection using DRE-CUSUM Sudarshan Adiga Ravi Tandon AI4TS 70 3 0 27 Jan 2022
Rethinking Importance Weighting for Transfer Learning Nan Lu Tianyi Zhang Tongtong Fang Takeshi Teshima Masashi Sugiyama 51 11 0 19 Dec 2021
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment Robert Hu Dino Sejdinovic R. Evans CML 64 2 0 25 Nov 2021
Density Ratio Estimation via Infinitesimal Classification Kristy Choi Chenlin Meng Yang Song Stefano Ermon 80 42 0 22 Nov 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 96 3 0 30 Aug 2021
Approximate Bayesian Optimisation for Neural Networks N. Hassen Irina Rish 13 1 0 27 Aug 2021
ADAPT : Awesome Domain Adaptation Python Toolbox Antoine de Mathelin Mounir Atiq Guillaume Richard Alejandro de la Concha Mouad Yachouti Franccois Deheeger Mathilde Mougeot Nicolas Vayatis TTA 61 48 0 07 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 72 24 0 05 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 144 10 0 02 Jul 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information Tobias Sutter Andreas Krause Daniel Kuhn OOD 54 10 0 08 Jun 2021