Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts

Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts

20 September 2020

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Papers citing "Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts"

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Title
Training Latent Diffusion Models with Interacting Particle Algorithms Tim Y. J. Wang Juan Kuntz O. Deniz Akyildiz 118 0 0 18 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 120 0 0 16 May 2025
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting Aleksei Ustimenko Aleksandr Beznosikov 84 1 0 09 Oct 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 114 23 0 29 May 2023
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics Hanlin Yu M. Hartmann Bernardo Williams Arto Klami BDL 81 6 0 09 Mar 2023
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 74 35 0 13 Jul 2022
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty Moritz Knolle Alexander Ziller Dmitrii Usynin R. Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis UQCV 58 2 0 09 Jul 2021
Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC Jeremie Coullon Leah F. South Christopher Nemeth 85 12 0 27 May 2021
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 94 27 0 04 Dec 2020