Markov Chain Monte Carlo

Slice Sampling Reparameterization Gradients NeurIPS 2021 Structured Logconcave Sampling with a Restricted Gaussian Oracle COLT 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 2021 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions NeurIPS 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020 Contrastive Divergence Learning with Chained Belief Propagation PGM 2020 Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NeurIPS 2020 Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NeurIPS 2020 Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo COLT 2020 Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NeurIPS 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets NeurIPS 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 Stochastic Stein Discrepancies NeurIPS 2020 Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NeurIPS 2020 Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NeurIPS 2019 Co-Generation with GANs using AIS based HMC NeurIPS 2019 Differentially Private Markov Chain Monte Carlo NeurIPS 2019