sampling method

Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NeurIPS 2018 Sublinear Time Low-Rank Approximation of Distance Matrices NeurIPS 2018 A simple model of recognition and recall memory NeurIPS 2017 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NeurIPS 2017 Minimizing Quadratic Functions in Constant Time NeurIPS 2016 Optimizing Speech Recognition Evaluation Using Stratified Sampling Interspeech 2016 Nested Sequential Monte Carlo Methods ICML 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 A Statistical Perspective on Algorithmic Leveraging ICML 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014 Demixing odors - fast inference in olfaction NeurIPS 2013 Improving Image Matting Using Comprehensive Sampling Sets CVPR 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Sampling Methods for the Nyström Method JMLR 2012 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices NeurIPS 2010 On Combining Graph-based Variance Reduction schemes AISTATS 2010 The Learning-Curve Sampling Method Applied to Model-Based Clustering JMLR 2002