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

On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy AISTATS 2021
Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021
Efficient constrained sampling via the mirror-Langevin algorithm NIPS 2021
Robustness between the worst and average case NIPS 2021
Entropy-based adaptive Hamiltonian Monte Carlo NIPS 2021
Identifying Norms from Observation Using MCMC Sampling IJCAI 2021
Permuton-induced Chinese Restaurant Process NIPS 2021
3DP3: 3D Scene Perception via Probabilistic Programming NIPS 2021
Slice Sampling Reparameterization Gradients NIPS 2021
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform NIPS 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NIPS 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NIPS 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing NIPS 2021
Dangers of Bayesian Model Averaging under Covariate Shift NIPS 2021
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet AAAI 2021
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting UAI 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NIPS 2021