markov chain

Learning low-dimensional state embeddings and metastable clusters from time series data NeurIPS 2019 Learning Multiple Markov Chains via Adaptive Allocation NeurIPS 2019 Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019 Non-asymptotic Analysis of Biased Stochastic Approximation Scheme COLT 2019 Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms NeurIPS 2019 Online sampling from log-concave distributions NeurIPS 2019 Optimal Best Markovian Arm Identification with Fixed Confidence NeurIPS 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Testing Symmetric Markov Chains Without Hitting COLT 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 Understanding Persuasion Cascades in Online Product Rating Systems AAAI 2019 A Faster Sampling Algorithm for Spherical k-means ACML 2018 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing COLT 2018 Deep Generative Markov State Models NeurIPS 2018 Entropy Rate Estimation for Markov Chains with Large State Space NeurIPS 2018 Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018 Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NeurIPS 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018 On how complexity affects the stability of a predictor AISTATS 2018 On Learning Markov Chains NeurIPS 2018 On Markov Chain Gradient Descent NeurIPS 2018 Point process latent variable models of larval zebrafish behavior NeurIPS 2018