monte carlo method

Learning the Physics of Particle Transport via Transformers AAAI 2022 Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations NeurIPS 2022 Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NeurIPS 2022 Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022 Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3) CVPR 2022 Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022 Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment AAAI 2021 A Stein Goodness-of-test for Exponential Random Graph Models AISTATS 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021 Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot AAAI 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Geometric rates of convergence for kernel-based sampling algorithms UAI 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021 Parameter-Based Value Functions ICLR 2021 Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NeurIPS 2020 Deep active inference agents using Monte-Carlo methods NeurIPS 2020 Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020 Efficiently sampling functions from Gaussian process posteriors ICML 2020 Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020 Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach EMNLP 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020