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log-concave distribution

46 papers

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Co-occurring keywords

markov chain monte carlo (725) mixing time (70) langevin monte carlo (33) bayesian inference (1907) sampling algorithm (130) log-concave sampling (13) langevin diffusion (23) markov chain (207) convex optimization (1321) convex body (7)

Papers

Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023
Improved dimension dependence of a proximal algorithm for sampling COLT 2023
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk NIPS 2023
Learning Exponential Families from Truncated Samples NIPS 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NIPS 2023
Tester-Learners for Halfspaces: Universal Algorithms NIPS 2023
On a Class of Gibbs Sampling over Networks COLT 2023
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022
Differential privacy for symmetric log-concave mechanisms AISTATS 2022
The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022
Learning a Single Neuron with Adversarial Label Noise via Gradient Descent COLT 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy NIPS 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NIPS 2022
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees NIPS 2022
Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021
Optimal Underdamped Langevin MCMC Method NIPS 2021
Random Coordinate Underdamped Langevin Monte Carlo AISTATS 2021
Learning Online Algorithms with Distributional Advice ICML 2021