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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

Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NIPS 2023
Learning Mixtures of Markov Chains and MDPs ICML 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis NIPS 2023
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming ICML 2023
Anonymous and Copy-Robust Delegations for Liquid Democracy NIPS 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023
Deep Stochastic Processes via Functional Markov Transition Operators NIPS 2023
Stochastic Gradient Descent under Markovian Sampling Schemes ICML 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Streaming PCA for Markovian Data NIPS 2023
Active Exploration via Experiment Design in Markov Chains AISTATS 2023
Data-driven memory-dependent abstractions of dynamical systems L4DC 2023
Mean Payoff Optimization for Systems of Periodic Service and Maintenance IJCAI 2023
A Statistical Online Inference Approach in Averaged Stochastic Approximation NIPS 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods NIPS 2022
State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022
Weisfeiler-Lehman Meets Gromov-Wasserstein ICML 2022
Identity Testing of Reversible Markov Chains AISTATS 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022
On Linear Model with Markov Signal Priors AISTATS 2022
A Continuous Time Framework for Discrete Denoising Models NIPS 2022
Continual Learning In Environments With Polynomial Mixing Times NIPS 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces NIPS 2022