Information, Divergence and Risk for Binary Experiments

5 January 2009

Papers citing "Information, Divergence and Risk for Binary Experiments"

10 / 10 papers shown

Title
A Connection Between Learning to Reject and Bhattacharyya Divergences Alexander Soen 51 0 0 08 May 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 31 0 0 25 Apr 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 73 0 0 07 Mar 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 48 0 0 28 Jan 2025
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 39 2 0 29 May 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 13 0 0 26 Dec 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones J. D. L. Torre GAN 11 1 0 18 Feb 2023
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 36 6 0 31 Jan 2022
Loss-calibrated expectation propagation for approximate Bayesian decision-making Michael J. Morais Jonathan W. Pillow 34 6 0 10 Jan 2022
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 13 10 0 18 Jun 2021