markov chain monte carlo

Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting UAI 2021 Sequential core-set Monte Carlo UAI 2021 Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021 Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet AAAI 2021 Slice Sampling Reparameterization Gradients NeurIPS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021 Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models ICLR 2021 Structured Logconcave Sampling with a Restricted Gaussian Oracle COLT 2021 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NeurIPS 2021 Unbiased gradient estimation for variational auto-encoders using coupled Markov chains UAI 2021 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models ICLR 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020 Aggregated Gradient Langevin Dynamics AAAI 2020 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Asymptotically Optimal Exact Minibatch Metropolis-Hastings NeurIPS 2020 Asynchronous Gibbs Sampling AISTATS 2020 Automatic Reparameterisation of Probabilistic Programs ICML 2020 Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks NeurIPS 2020 Bayesian Probabilistic Numerical Integration with Tree-Based Models NeurIPS 2020 Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference PGM 2020 Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics ICML 2020 Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization NeurIPS 2020