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langevin algorithm

22 papers

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Co-occurring keywords

markov chain monte carlo (725) mixing time (70) kl divergence (196) langevin dynamics (128) log-concave distribution (46) bayesian inference (1907) non-convex optimization (547) stochastic gradient descent (1091) log-sobolev inequality (11) log concave distribution (2)

Papers

Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks JMLR 2024
Customized Style Transfer using Discrete Sampling EMNLP 2024
Fast parallel sampling under isoperimetry COLT 2024
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality NIPS 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems ICML 2022
Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NIPS 2021
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NIPS 2020
Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability COLT 2018