Particle-based Online Bayesian Sampling

28 February 2023

Papers citing "Particle-based Online Bayesian Sampling"

8 / 8 papers shown

Title
Electrostatics-based particle sampling and approximate inference Yongchao Huang DiffM 35 2 0 28 Jun 2024
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data Yongsheng Mei Mahdi Imani Tian-Shing Lan GP 35 5 0 25 Jan 2024
A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment Xiaobo Ma A. Cottam Mohammad Razaur Rahman Shaon Yao-Jan Wu 33 7 0 07 Aug 2023
On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework Xiaobo Ma Abolfazl Karimpour Yao-Jan Wu 31 4 0 07 Aug 2023
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels Yifan Yang Alec Koppel Zheng-Wei Zhang NoLa 28 3 0 08 Jun 2023
Low-rank extended Kalman filtering for online learning of neural networks from streaming data Peter Chang Gerardo Duran-Martín Alexander Y. Shestopaloff Matt Jones Kevin P. Murphy BDL 46 17 0 31 May 2023
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 231 500 0 11 Jun 2018
MCMC using Hamiltonian dynamics Radford M. Neal 189 3,268 0 09 Jun 2012