Automated Scalable Bayesian Inference via Hilbert Coresets

13 October 2017

Papers citing "Automated Scalable Bayesian Inference via Hilbert Coresets"

24 / 24 papers shown

Title
Predictive Coresets Bernardo Flores 57 0 0 08 Feb 2025
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie Jiangning Zhu Guozu Ma Minzhi Lin Wei Chen Weikai Yang Shixia Liu 33 0 0 03 Oct 2024
Coreset Markov Chain Monte Carlo Naitong Chen Trevor Campbell 32 4 0 25 Oct 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Bo-wen Li H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 29 37 0 20 May 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 16 0 0 09 Dec 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 22 20 0 09 Jun 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 58 3 0 18 May 2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 45 16 0 17 May 2022
Reinforcement-based frugal learning for satellite image change detection Sebastien Deschamps H. Sahbi 30 1 0 22 Mar 2022
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection H. Sahbi Sebastien Deschamps 33 0 0 22 Mar 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 35 14 0 11 Mar 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 35 13 0 22 Dec 2021
Active learning for interactive satellite image change detection H. Sahbi Sebastien Deschamps Andrei Stoian 42 6 0 08 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 28 5 0 27 Apr 2021
Risk Bounds for Learning via Hilbert Coresets Spencer Douglas Piyush Kumar R. Prasanth 24 0 0 29 Mar 2021
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 38 226 0 06 Jun 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 26 328 0 26 Jun 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 35 15 0 26 Jun 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 25 136 0 05 Feb 2018
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 50 22 0 06 May 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,267 0 09 Jun 2012