Markov Chain Monte Carlo

Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NeurIPS 2022 Sqrt(d) Dimension Dependence of Langevin Monte Carlo ICLR 2022 The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022 Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022 Training stochastic stabilized supralinear networks by dynamics-neutral growth NeurIPS 2022 Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction ICLR 2021 Contrastive Divergence Learning is a Time Reversal Adversarial Game ICLR 2021 De-randomizing MCMC dynamics with the diffusion Stein operator NeurIPS 2021 Differentiable Annealed Importance Sampling and the Perils of Gradient Noise NeurIPS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NeurIPS 2021 Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling UAI 2021 Kernel Thinning COLT 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021 Learning to Sample from Censored Markov Random Fields COLT 2021 Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NeurIPS 2021 On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness COLT 2021 Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 Optimal Underdamped Langevin MCMC Method NeurIPS 2021 Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows ICLR 2021 Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021 Random Coordinate Langevin Monte Carlo COLT 2021 Rao-Blackwellised parallel MCMC AISTATS 2021 Sampling with Trusthworthy Constraints: A Variational Gradient Framework NeurIPS 2021 Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021