Provable Bayesian Inference via Particle Mirror Descent

9 June 2015

Papers citing "Provable Bayesian Inference via Particle Mirror Descent"

9 / 9 papers shown

Title
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 56 1 0 28 Jan 2025
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 25 1 0 11 Aug 2023
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 16 15 0 07 Oct 2022
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff Anna Korba Franccois Portier 14 12 0 29 Oct 2021
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 10 45 0 11 Sep 2020
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 21 270 0 25 Apr 2017
Stochastic Generative Hashing Bo Dai Ruiqi Guo Sanjiv Kumar Niao He Le Song TPM 16 105 0 11 Jan 2017
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark W. Schmidt Masashi Sugiyama 18 49 0 31 Oct 2015
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 55 156 0 05 Oct 2012