Approximating Likelihood Ratios with Calibrated Discriminative
Classifiers

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Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

6 June 2015

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Papers citing "Approximating Likelihood Ratios with Calibrated Discriminative Classifiers"

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Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 107 0 0 04 Apr 2025
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 216 9 0 17 Feb 2025
Simulation-based Inference for Cardiovascular Models Antoine Wehenkel Laura Manduchi Jens Behrmann Guillermo Sapiro Andrew C. Miller Marco Cuturi Ozan Sener Marco Cuturi J. Jacobsen 194 9 0 31 Dec 2024
Stacking machine learning classifiers to identify Higgs bosons at the LHC A. Alves 53 32 0 21 Dec 2016
Constructive Setting of the Density Ratio Estimation Problem and its Rigorous Solution V. Vapnik Í. Braga R. Izmailov 58 11 0 03 Jun 2013
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,448 0 12 Dec 2010
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 225 803 0 04 Sep 2008