monte carlo method

Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017 CMA-ES with Optimal Covariance Update and Storage Complexity NeurIPS 2016 Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NeurIPS 2016 Latent Topic Embedding COLING 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics JMLR 2016 Variance Reduction in Stochastic Gradient Langevin Dynamics NeurIPS 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 Bayesian dark knowledge NeurIPS 2015 Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NeurIPS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Accelerating ABC methods using Gaussian processes AISTATS 2014 Adaptive Monte Carlo via Bandit Allocation ICML 2014 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014 Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NeurIPS 2014 Annealing between distributions by averaging moments NeurIPS 2013 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013 Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Bayesian Quadrature for Ratios AISTATS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012