gibbs distribution

Approximating the total variation distance between spin systems COLT 2025 Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025 Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers ICLR 2024 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024 QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NeurIPS 2024 Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NeurIPS 2023 Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022 Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection CVPR 2022 Directed Probabilistic Watershed NeurIPS 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NeurIPS 2021 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020 Canonical Soft Time Warping ACML 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 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 NeurIPS 2013 Randomized Optimum Models for Structured Prediction AISTATS 2012 Random Walk Approach to Regret Minimization NeurIPS 2010