conftrace_

markov chain monte carlo

725 papers

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Also known as

MCMC

Co-occurring keywords

bayesian inference (1907) variational inference (2069) langevin dynamics (128) hamiltonian monte carlo (92) gibbs sampling (201) stochastic gradient (296) mcmc sampling (70) mixing time (70) sampling algorithm (130) gaussian process (1200)

Papers

Revisiting Sampling for Combinatorial Optimization ICML 2023
Improving multiple-try Metropolis with local balancing JMLR 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023
Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains ICML 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation EMNLP 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023
Variational Inference for Neyman-Scott Processes AISTATS 2023
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023
On Sampling with Approximate Transport Maps ICML 2023
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023
Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation AISTATS 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
Transport Reversible Jump Proposals AISTATS 2023
Transport Elliptical Slice Sampling AISTATS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023
Stochastic Generative Flow Networks UAI 2023