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gibbs distribution

19 papers

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Co-occurring keywords

partition function (81) markov chain monte carlo (725) approximate sampling (9) generalization bound (652) neural network (6616) maximum a posteriori (88) structured prediction (396) gibbs posterior (7) gumbel perturbation (2) measure concentration (2)

Papers

Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NIPS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NIPS 2023
Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection CVPR 2022
Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NIPS 2021
Directed Probabilistic Watershed NIPS 2021
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020
Canonical Soft Time Warping ACML 2019
A Faster Approximation Algorithm for the Gibbs Partition Function COLT 2018
Lost Relatives of the Gumbel Trick ICML 2017
Active Learning for Structured Probabilistic Models With Histogram Approximation CVPR 2015
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Randomized Optimum Models for Structured Prediction AISTATS 2012
Random Walk Approach to Regret Minimization NIPS 2010