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Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

12 June 2020

Papers citing "Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation"

24 / 24 papers shown

Title
Projection Pursuit Density Ratio Estimation Meilin Wang Wei Huang Mingming Gong Zheng Zhang 40 0 0 01 Jun 2025
Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models Rei Higuchi Taiji Suzuki 119 1 0 12 May 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 138 0 0 28 Jan 2025
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 101 1 0 02 Oct 2024
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 71 1 0 06 Jun 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 117 2 0 21 Feb 2024
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift Xingdong Feng Xin He Caixing Wang Chao Wang Jingnan Zhang 69 7 0 12 Oct 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
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 171 5 0 19 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 174 5 0 17 May 2023
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression Akash Srivastava Seung-Jun Han Kai Xu Benjamin Rhodes Michael U. Gutmann 108 11 0 01 May 2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data Masahiro Kato Shuting Wu Kodai Kureishi Shota Yasui 20 1 0 08 Mar 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 83 13 0 06 Feb 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 120 89 0 28 Nov 2022
Generalized Balancing Weights via Deep Neural Networks Yoshiaki Kitazawa BDL CML 64 1 0 14 Nov 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 49 4 0 29 Jun 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 66 0 0 31 Jan 2022
A Unified Framework for Multi-distribution Density Ratio Estimation Lantao Yu Yujia Jin Stefano Ermon 42 4 0 07 Dec 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations Mina Rezaei Farzin Soleymani B. Bischl Shekoofeh Azizi SSL 80 16 0 15 Sep 2021
Estimation of Local Average Treatment Effect by Data Combination Kazuhiko Shinoda T. Hoshino 33 1 0 11 Sep 2021
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato Masaaki Imaizumi K. McAlinn Haruo Kakehi Shota Yasui CML 73 5 0 03 Aug 2021
Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation Shōta Nakajima Masashi Sugiyama 149 9 0 11 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 136 10 0 02 Jul 2021
Learning Classifiers under Delayed Feedback with a Time Window Assumption Masahiro Kato Shota Yasui 52 6 0 28 Sep 2020