Provable benefits of annealing for estimating normalizing constants:
Importance Sampling, Noise-Contrastive Estimation, and beyond

Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond

5 October 2023

Andrej Risteski

Papers citing "Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond"

7 / 7 papers shown

Title
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
Path-Guided Particle-based Sampling Mingzhou Fan Ruida Zhou C. Tian Xiaoning Qian 84 4 0 04 Dec 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 35 2 0 13 Oct 2024
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds Rob Brekelmans Sicong Huang Marzyeh Ghassemi Greg Ver Steeg Roger C. Grosse Alireza Makhzani 43 15 0 13 Mar 2023
Pitfalls of Gaussians as a noise distribution in NCE Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 20 4 0 01 Oct 2022
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 52 65 0 23 Jul 2020
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 88 183 0 25 Nov 2009