Coresets for Scalable Bayesian Logistic Regression

20 May 2016

Papers citing "Coresets for Scalable Bayesian Logistic Regression"

28 / 28 papers shown

Title
Predictive Coresets Bernardo Flores 54 0 0 08 Feb 2025
$Computing Approximate $\ell_p$ Sensitivities$ Computing Approximate $\ell_p$ Sensitivities Swati Padmanabhan David P. Woodruff Qiuyi Zhang 45 0 0 07 Nov 2023
Coreset Markov Chain Monte Carlo Naitong Chen Trevor Campbell 21 4 0 25 Oct 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 27 4 0 05 Sep 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 39 4 0 21 Apr 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
Coresets for Relational Data and The Applications Jiaxiang Chen Qingyuan Yang Ru Huang Hu Ding 11 4 0 09 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 37 27 0 20 Sep 2022
$p$ -Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets Alexander Munteanu Simon Omlor Christian Peters 21 10 0 25 Mar 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 30 14 0 11 Mar 2022
Obstacle Aware Sampling for Path Planning M. Tukan Alaa Maalouf Dan Feldman Roi Poranne 18 8 0 08 Mar 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 24 13 0 22 Dec 2021
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 17 8 0 06 Dec 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 21 16 0 05 Dec 2021
Introduction to Coresets: Approximated Mean Alaa Maalouf Ibrahim Jubran Dan Feldman 17 6 0 04 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 37 16 0 27 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Oblivious sketching for logistic regression Alexander Munteanu Simon Omlor David P. Woodruff UQCV 46 17 0 14 Jul 2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling Vladimir Braverman Avinatan Hassidim Yossi Matias Mariano Schain Sandeep Silwal Samson Zhou AAML OOD 22 38 0 28 Jun 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 18 5 0 27 Apr 2021
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 21 226 0 06 Jun 2020
Small-GAN: Speeding Up GAN Training Using Core-sets Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 22 72 0 29 Oct 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications Nicholas Carlini Ulfar Erlingsson Nicolas Papernot OOD OODD 19 62 0 29 Oct 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 30 141 0 17 Jul 2019
Interpreting Black Box Predictions using Fisher Kernels Rajiv Khanna Been Kim Joydeep Ghosh Oluwasanmi Koyejo FAtt 14 103 0 23 Oct 2018
On Coresets for Logistic Regression Alexander Munteanu Chris Schwiegelshohn C. Sohler David P. Woodruff 19 107 0 22 May 2018
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference Jonathan H. Huggins Ryan P. Adams Tamara Broderick 19 32 0 26 Sep 2017
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 45 22 0 06 May 2016