markov chain monte carlo

Learning spectrograms with convolutional spectral kernels AISTATS 2020 Likelihood-free MCMC with Amortized Approximate Ratio Estimators ICML 2020 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo COLT 2020 Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions AISTATS 2020 Markovian Score Climbing: Variational Inference with KL(p||q) NeurIPS 2020 Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NeurIPS 2020 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020 Nonparametric graphical model for counts JMLR 2020 Online matrix factorization for Markovian data and applications to Network Dictionary Learning JMLR 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets NeurIPS 2020 Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020 Recurrent Hierarchical Topic-Guided RNN for Language Generation ICML 2020 Sampling Random Chordal Graphs by MCMC (Student Abstract) AAAI 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection ACML 2020 Slice Sampling for General Completely Random Measures UAI 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 Spectral Subsampling MCMC for Stationary Time Series ICML 2020 Stein Self-Repulsive Dynamics: Benefits From Past Samples NeurIPS 2020 Stein Variational Inference for Discrete Distributions AISTATS 2020 Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020