conftrace_

monte carlo method

126 papers

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Also known as

MCM

Co-occurring keywords

bayesian inference (1907) importance sampling (318) monte carlo sampling (83) variational inference (2069) monte carlo (44) reinforcement learning (4352) stochastic optimization (1060) graphical model (864) variance reduction (523) markov chain monte carlo (725)

Papers

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021
Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment AAAI 2021
Geometric rates of convergence for kernel-based sampling algorithms UAI 2021
A Stein Goodness-of-test for Exponential Random Graph Models AISTATS 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021
Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot AAAI 2021
On Adaptive Distance Estimation NIPS 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
Deep active inference agents using Monte-Carlo methods NIPS 2020
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach EMNLP 2020
McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020
Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NIPS 2020
Scaling Up AND/OR Abstraction Sampling IJCAI 2020
Efficiently sampling functions from Gaussian process posteriors ICML 2020
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CORL 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
Tensor Monte Carlo: Particle Methods for the GPU era NIPS 2019
Scalable Collapsed Inference for High-Dimensional Topic Models NAACL 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks IJCAI 2019
Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NIPS 2019