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An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling.

, , , and . CoRR, (2024)

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Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics., , and . UAI, page 508-518. AUAI Press, (2018)Two-dimensional Intensity Distribution and Connectivity in Ultraviolet Ad-Hoc Network., , , and . ICC, page 1-6. IEEE, (2020)How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?, , , , , and . CoRR, (2023)Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems., , and . CoRR, (2024)Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 37919-37951. PMLR, (2023)Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo., , , , and . COLT, volume 247 of Proceedings of Machine Learning Research, page 2438-2493. PMLR, (2024)Slight Corruption in Pre-training Data Makes Better Diffusion Models., , , , , , , , and . CoRR, (2024)Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo., , , and . CoRR, (2019)Faster Sampling via Stochastic Gradient Proximal Sampler., , , , and . ICML, OpenReview.net, (2024)Provable Robustness of Adversarial Training for Learning Halfspaces with Noise., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 13002-13011. PMLR, (2021)