conftrace_

markov chain

207 papers

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Also known as

MC

Co-occurring keywords

markov chain monte carlo (725) mixing time (70) stochastic optimization (1060) stochastic process (388) stochastic approximation (101) bayesian inference (1907) stochastic gradient descent (1091) generative model (2892) variational inference (2069) stationary distribution (35)

Papers

Robust Gradient-Based Markov Subsampling AAAI 2020
Collapsing Bandits and Their Application to Public Health Intervention NIPS 2020
Testing Symmetric Markov Chains Without Hitting COLT 2019
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme COLT 2019
Estimating the Mixing Time of Ergodic Markov Chains COLT 2019
Accelerate CNN via Recursive Bayesian Pruning ICCV 2019
Online sampling from log-concave distributions NIPS 2019
Optimal Best Markovian Arm Identification with Fixed Confidence NIPS 2019
Privacy Amplification by Mixing and Diffusion Mechanisms NIPS 2019
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms NIPS 2019
Understanding Persuasion Cascades in Online Product Rating Systems AAAI 2019
The Implicit Metropolis-Hastings Algorithm NIPS 2019
Learning Multiple Markov Chains via Adaptive Allocation NIPS 2019
Generation of Policy-Level Explanations for Reinforcement Learning AAAI 2019
Discrete Object Generation with Reversible Inductive Construction NIPS 2019
State Aggregation Learning from Markov Transition Data NIPS 2019
Learning low-dimensional state embeddings and metastable clusters from time series data NIPS 2019
Fast Algorithm for Generalized Multinomial Models with Ranking Data ICML 2019
Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019
Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NIPS 2018
On Learning Markov Chains NIPS 2018
Testing Symmetric Markov Chains From a Single Trajectory COLT 2018
On Markov Chain Gradient Descent NIPS 2018
On how complexity affects the stability of a predictor AISTATS 2018