effective sample size

Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget (extended abstract) COLT 2026 AutoStep: Locally adaptive involutive MCMC ICML 2025 Function-Space MCMC for Bayesian Wide Neural Networks AISTATS 2025 Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS 2025 NETS: A Non-equilibrium Transport Sampler ICML 2025 Parameter estimation in state space models using particle importance sampling AISTATS 2025 autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024 Pareto Smoothed Importance Sampling JMLR 2024 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023 Fixed-Distance Hamiltonian Monte Carlo NeurIPS 2022 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021 Stein Self-Repulsive Dynamics: Benefits From Past Samples NeurIPS 2020 Generalizing Hamiltonian Monte Carlo with Neural Networks ICLR 2018 Iterative Refinement of the Approximate Posterior for Directed Belief Networks NeurIPS 2016 Measuring Sample Quality with Stein's Method NeurIPS 2015 Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008