Sampling

Exact sampling of determinantal point processes with sublinear time preprocessing NeurIPS 2019 Learning Erdos-Renyi Random Graphs via Edge Detecting Queries NeurIPS 2019 On Testing of Uniform Samplers AAAI 2019 Random Tessellation Forests NeurIPS 2019 Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems EMNLP 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Geometrically Coupled Monte Carlo Sampling 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 Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017 Learning Determinantal Point Processes with Moments and Cycles ICML 2017 Polynomial time algorithms for dual volume sampling NeurIPS 2017 Kronecker Determinantal Point Processes NeurIPS 2016 Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NeurIPS 2016 Bounding the Cost of Search-Based Lifted Inference NeurIPS 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Measuring Sample Quality with Stein's Method NeurIPS 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 A* Sampling NeurIPS 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013