conftrace_

partition function

81 papers

Explore in graph

Co-occurring keywords

graphical model (864) variational inference (2069) belief propagation (177) approximate inference (253) probabilistic inference (312) importance sampling (318) markov random field (303) energy-based model (251) markov chain monte carlo (725) ising model (85)

Papers

Adaptive Sampling for Efficient Softmax Approximation NIPS 2024
Adversarial Likelihood Estimation With One-Way Flows WACV 2024
Neural Sampling in Hierarchical Exponential-family Energy-based Models NIPS 2023
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond NIPS 2023
Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023
Scaling Structured Inference with Randomization ICML 2022
NeuroBE: Escalating neural network approximations of Bucket Elimination UAI 2022
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering AISTATS 2021
Pseudo-Spherical Contrastive Divergence NIPS 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NIPS 2021
Partition Function Estimation: A Quantitative Study IJCAI 2021
Further results on latent discourse models and word embeddings JMLR 2021
Deep Bucket Elimination IJCAI 2021
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020
Mutual Information Estimation using LSH Sampling IJCAI 2020
Multi-level Gaussian Graphical Models Conditional on Covariates AISTATS 2020
Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020
Efficient semidefinite-programming-based inference for binary and multi-class MRFs NIPS 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference? UAI 2019
Spectral Approximate Inference ICML 2019
Inference and Sampling of $K_33$-free Ising Models ICML 2019
Bucket Renormalization for Approximate Inference ICML 2018