sampling algorithm

The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 Convergence of Langevin MCMC in KL-divergence ALT 2018 Fast MCMC Sampling Algorithms on Polytopes JMLR 2018 Geometrically Coupled Monte Carlo Sampling NeurIPS 2018 On Fast Leverage Score Sampling and Optimal Learning NeurIPS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Sampling for Approximate Bipartite Network Projection IJCAI 2018 Estimating the size of search trees by sampling with domain knowledge IJCAI 2017 Order Statistics for Probabilistic Graphical Models IJCAI 2017 Polynomial time algorithms for dual volume sampling NeurIPS 2017 Recursive Sampling for the Nystrom Method NeurIPS 2017 Sampling for Approximate Maximum Search in Factorized Tensor IJCAI 2017 Unified Representation and Lifted Sampling for Generative Models of Social Networks IJCAI 2017 Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017 A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++ NeurIPS 2016 Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016 Slice Sampling on Hamiltonian Trajectories ICML 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NeurIPS 2016 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NeurIPS 2016 Synthesis of MCMC and Belief Propagation NeurIPS 2016 The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016 Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NeurIPS 2016 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 A* Sampling NeurIPS 2014 Coherent Matrix Completion ICML 2014