Estimating divergence functionals and the likelihood ratio by convex risk minimization

4 September 2008

Papers citing "Estimating divergence functionals and the likelihood ratio by convex risk minimization"

14 / 14 papers shown

Title
InfoPO: On Mutual Information Maximization for Large Language Model Alignment Teng Xiao Zhen Ge Sujay Sanghavi Tian Wang Julian Katz-Samuels Marc Versage Qingjun Cui Trishul Chilimbi 104 0 0 13 May 2025
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 94 1 0 27 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 94 0 0 28 Jan 2025
Parallelized Autoregressive Visual Generation Yanjie Wang Shuhuai Ren Zhijie Lin Yujin Han Haoyuan Guo Zhenheng Yang Difan Zou Jiashi Feng Xihui Liu VGen 128 12 0 19 Dec 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 97 1 0 09 Oct 2024
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 62 0 0 02 Oct 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Hongjun Wang S. Vaze Kai Han 119 4 0 08 Aug 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 91 0 0 27 May 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 92 7 0 08 Apr 2024
Copula Density Neural Estimation N. A. Letizia Andrea M. Tonello 33 7 0 25 Nov 2022
Conditional Mutual Information Neural Estimator Sina Molavipour Germán Bassi Mikael Skoglund 45 14 0 06 Nov 2019
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 91 529 0 17 Jan 2017
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 64 104 0 10 Oct 2016
Parametric estimation and tests through divergences and duality technique M. Broniatowski Amor Keziou 80 92 0 22 Nov 2008