importance sampling

Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019 Tensor Monte Carlo: Particle Methods for the GPU era NeurIPS 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019 Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search ICLR 2019 A Faster Approximation Algorithm for the Gibbs Partition Function COLT 2018 Approximate Knowledge Compilation by Online Collapsed Importance Sampling NeurIPS 2018 Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NeurIPS 2018 Contextual Bandits with Stochastic Experts AISTATS 2018 Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018 Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP 2018 Exponentiated Strongly Rayleigh Distributions NeurIPS 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018 Importance Sampling for Fair Policy Selection IJCAI 2018 Importance Sampling for Minibatches JMLR 2018 Importance Weighting and Variational Inference NeurIPS 2018 Local Density Estimation in High Dimensions ICML 2018 More Robust Doubly Robust Off-policy Evaluation ICML 2018 Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018 Online Variance Reduction for Stochastic Optimization COLT 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018 Random Feature Stein Discrepancies NeurIPS 2018 Sampling Informative Training Data for RNN Language Models ACL 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NeurIPS 2018