Sparse Variational Inference: Bayesian Coresets from Scratch

v1v2 (latest)

Sparse Variational Inference: Bayesian Coresets from Scratch

7 June 2019

Trevor Campbell

ArXiv (abs)PDF HTML

Papers citing "Sparse Variational Inference: Bayesian Coresets from Scratch"

11 / 11 papers shown

Title
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG Naitong Chen Jonathan H. Huggins Trevor Campbell 65 0 0 24 Oct 2024
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 56 4 0 04 Nov 2022
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning Qihan Yang Fan Feng Rosa H. M. Chan 108 9 0 04 Aug 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 73 20 0 09 Jun 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 85 14 0 11 Mar 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 95 16 0 05 Dec 2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning Rishabh Tiwari Krishnateja Killamsetty Rishabh K. Iyer Pradeep Shenoy BDL CLL 75 140 0 18 Nov 2021
How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data David Tolpin 48 0 0 08 May 2021
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms Pietro Barbiero Giovanni Squillero Alberto Tonda 42 3 0 20 Feb 2020
Spectral Subsampling MCMC for Stationary Time Series R. Salomone M. Quiroz Robert Kohn M. Villani Minh-Ngoc Tran AI4TS 78 15 0 30 Oct 2019
Large Scale Clustering with Variational EM for Gaussian Mixture Models F. Hirschberger D. Forster Jörg Lücke VLM 86 13 0 01 Oct 2018