Relative Density-Ratio Estimation for Robust Distribution Comparison

23 June 2011

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

40 / 90 papers shown

Title
Self-supervised Representation Learning with Relative Predictive Coding Yao-Hung Hubert Tsai Martin Q. Ma Muqiao Yang Han Zhao Louis-Philippe Morency Ruslan Salakhutdinov SSL AI4TS 101 38 0 21 Mar 2021
Multicalibrated Partitions for Importance Weights Parikshit Gopalan Omer Reingold Vatsal Sharan Udi Wieder 60 12 0 10 Mar 2021
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 91 29 0 17 Feb 2021
Robust Correction of Sampling Bias Using Cumulative Distribution Functions Bijan Mazaheri Siddhartha Jain Jehoshua Bruck OOD 39 5 0 23 Oct 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 104 58 0 22 Oct 2020
Proximal Policy Optimization with Relative Pearson Divergence Taisuke Kobayashi 36 17 0 07 Oct 2020
Online Neural Networks for Change-Point Detection M. Hushchyn K. Arzymatov D. Derkach 61 13 0 03 Oct 2020
Active Learning under Label Shift Eric Zhao Anqi Liu Anima Anandkumar Yisong Yue 104 26 0 16 Jul 2020
A One-step Approach to Covariate Shift Adaptation Tianyi Zhang Ikko Yamane Nan Lu Masashi Sugiyama OOD 50 23 0 08 Jul 2020
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation Shiyang Yan Yang Hua N. Robertson OffRL 42 0 0 21 Jun 2020
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift Masahiro Nomura Yuta Saito 25 9 0 18 Jun 2020
Feature Robust Optimal Transport for High-dimensional Data Mathis Petrovich Chao Liang Ryoma Sato Yanbin Liu Yao-Hung Hubert Tsai Linchao Zhu Yi Yang Ruslan Salakhutdinov M. Yamada OT OOD 79 7 0 25 May 2020
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift Zayd Hammoudeh Daniel Lowd 94 39 0 24 Feb 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer Takeshi Teshima Issei Sato Masashi Sugiyama OOD CML TTA 101 86 0 10 Feb 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation P. Becker Oleg Arenz Gerhard Neumann 44 16 0 23 Jan 2020
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation M. Hushchyn Andrey Ustyuzhanin AI4TS 42 32 0 17 Jan 2020
Obfuscation via Information Density Estimation Hsiang Hsu S. Asoodeh Flavio du Pin Calmon 60 12 0 17 Oct 2019
ATL: Autonomous Knowledge Transfer from Many Streaming Processes Mahardhika Pratama Marcus Vinícius de Carvalho Renchunzi Xie E. Lughofer Jie Lu 62 20 0 08 Oct 2019
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection Jeffrey Liu A. Weinert Saurabh Amin 129 1 0 17 May 2019
F-measure Maximizing Logistic Regression Masaaki Okabe Jun Tsuchida Hiroshi Yadohisa 7 4 0 07 May 2019
General Probabilistic Surface Optimization and Log Density Estimation Dmitry Kopitkov Vadim Indelman 87 1 0 25 Mar 2019
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning Mahammad Humayoo Xueqi Cheng BDL OffRL 45 5 0 30 Oct 2018
Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error Nontawat Charoenphakdee Masashi Sugiyama 59 11 0 19 Sep 2018
Uplift Modeling from Separate Labels Ikko Yamane Florian Yger Jamal Atif Masashi Sugiyama 89 21 0 14 Mar 2018
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator M. Yamada Denny Wu Yao-Hung Hubert Tsai Ichiro Takeuchi Ruslan Salakhutdinov Kenji Fukumizu 112 20 0 17 Feb 2018
Distance formulas capable of unifying Euclidian space and probability space Zecang Gu Ling Dong 31 2 0 06 Jan 2018
Kernel Robust Bias-Aware Prediction under Covariate Shift Anqi Liu Rizal Fathony Brian Ziebart OOD 24 3 0 28 Dec 2017
Extreme Dimension Reduction for Handling Covariate Shift Fulton Wang Cynthia Rudin 43 1 0 29 Nov 2017
Trimmed Density Ratio Estimation Song Liu Akiko Takeda Taiji Suzuki Kenji Fukumizu 58 19 0 09 Mar 2017
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation M. Yamada Song Liu Samuel Kaski 18 4 0 21 Feb 2017
Overlapping Cover Local Regression Machines Mohamed Elhoseiny Ahmed Elgammal 92 0 0 05 Jan 2017
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 106 104 0 10 Oct 2016
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction Ritambhara Singh Jack Lanchantin G. Robins Yanjun Qi 23 3 0 12 Sep 2016
Minimizing Quadratic Functions in Constant Time K. Hayashi Yuichi Yoshida 19 7 0 25 Aug 2016
Gradient of Probability Density Functions based Contrasts for Blind Source Separation (BSS) Dharmani Bhaveshkumar 25 0 0 10 Apr 2015
Support Consistency of Direct Sparse-Change Learning in Markov Networks Song Liu Taiji Suzuki Raissa Relator Jun Sese Masashi Sugiyama Kenji Fukumizu 192 24 0 02 Jul 2014
B-tests: Low Variance Kernel Two-Sample Tests Wojciech Zaremba Arthur Gretton Matthew Blaschko 133 23 0 08 Jul 2013
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation Song Liu J. Quinn Michael U. Gutmann Taiji Suzuki Masashi Sugiyama 126 42 0 25 Apr 2013
Density-Difference Estimation Masashi Sugiyama Takafumi Kanamori Taiji Suzuki M. C. D. Plessis Song Liu Ichiro Takeuchi OT 100 79 0 30 Jun 2012
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Song Liu M. Yamada Nigel Collier Masashi Sugiyama 129 448 0 02 Mar 2012