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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"

41 / 41 papers shown

Title
Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models Rei Higuchi Taiji Suzuki 95 0 0 12 May 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 115 0 0 28 Jan 2025
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 70 1 0 02 Oct 2024
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 100 5 0 19 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 140 5 0 17 May 2023
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 144 96 0 22 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 62 139 0 08 Jun 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift Masahiro Kato Masatoshi Uehara Shota Yasui OffRL 66 53 0 26 Feb 2020
More Efficient Off-Policy Evaluation through Regularized Targeted Learning Aurélien F. Bibaut Ivana Malenica N. Vlassis Mark van der Laan OOD OffRL 42 41 0 13 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach Nan Lu Tianyi Zhang Gang Niu Masashi Sugiyama 51 55 0 20 Oct 2019
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 81 54 0 09 Jun 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 58 545 0 06 Jun 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Michael Oberst David Sontag CML OffRL 71 173 0 14 May 2019
Efficient Counterfactual Learning from Bandit Feedback Yusuke Narita Shota Yasui Kohei Yata OffRL 81 48 0 10 Sep 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 89 607 0 28 May 2018
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 154 548 0 18 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 230 811 0 22 Aug 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo Gang Niu M. C. D. Plessis Masashi Sugiyama 71 476 0 02 Mar 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 447 183 0 09 Feb 2017
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits Yu Wang Alekh Agarwal Miroslav Dudík OffRL 112 222 0 04 Dec 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 83 104 0 10 Oct 2016
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 89 211 0 29 Jul 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 154 1,656 0 02 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 349 7,985 0 23 May 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning Gang Niu M. C. D. Plessis Tomoya Sakai Yao Ma Masashi Sugiyama 69 127 0 10 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
External Validity: From Do-Calculus to Transportability Across Populations Judea Pearl Elias Bareinboim 60 333 0 05 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,672 0 21 Dec 2014
Marginalized Denoising Autoencoders for Domain Adaptation Minmin Chen Z. Xu Kilian Q. Weinberger Fei Sha 119 818 0 18 Jun 2012
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Song Liu M. Yamada Nigel Collier Masashi Sugiyama 60 446 0 02 Mar 2012
Doubly Robust Policy Evaluation and Learning Miroslav Dudík John Langford Lihong Li OffRL 343 697 0 23 Mar 2011
f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models Takafumi Kanamori Taiji Suzuki Masashi Sugiyama 86 70 0 24 Oct 2010
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 471 2,951 0 28 Feb 2010
The Offset Tree for Learning with Partial Labels A. Beygelzimer John Langford 314 185 0 21 Dec 2008
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 227 803 0 04 Sep 2008
Sample Selection Bias Correction Theory Corinna Cortes M. Mohri Michael Riley Afshin Rostamizadeh 103 350 0 19 May 2008
Bayesian Online Changepoint Detection Ryan P. Adams D. MacKay 245 769 0 19 Oct 2007