monte carlo

Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints L4DC 2022 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022 Deep Explicit Duration Switching Models for Time Series NeurIPS 2021 Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation ICLR 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NeurIPS 2020 Collision Probabilities for Continuous-Time Systems Without Sampling RSS 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 On Adaptive Distance Estimation NeurIPS 2020 Alleviating Label Switching with Optimal Transport NeurIPS 2019 Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers ICLR 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy ICML 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NeurIPS 2018 Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NeurIPS 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Variance Reduction via Antithetic Markov Chains AISTATS 2015 Annealing between distributions by averaging moments NeurIPS 2013 Fast dropout training ICML 2013 Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013 An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010 An Ab-initio tree-based exploration to enhance sampling of low-energy protein conformations RSS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008