Bayesian Batch Active Learning as Sparse Subset Approximation

6 August 2019

Robert Pinsler

Jonathan Gordon

Eric T. Nalisnick

José Miguel Hernández-Lobato

UQCV

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Papers citing "Bayesian Batch Active Learning as Sparse Subset Approximation"

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Title
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 400 0 0 18 Mar 2025
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 98 6 0 02 Aug 2024
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 66 35 0 17 Mar 2022
Leveraged volume sampling for linear regression Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 30 58 0 19 Feb 2018
Automated Scalable Bayesian Inference via Hilbert Coresets Trevor Campbell Tamara Broderick 56 127 0 13 Oct 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 56 1,725 0 08 Mar 2017
Coresets for Scalable Bayesian Logistic Regression Jonathan H. Huggins Trevor Campbell Tamara Broderick 36 217 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 46 159 0 23 Nov 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 189 882 0 06 Nov 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 159 1,500 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 476 9,233 0 06 Jun 2015
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 56 353 0 29 May 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 117 1,878 0 20 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 64 940 0 18 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 840 149,474 0 22 Dec 2014
A Statistical Perspective on Algorithmic Leveraging Ping Ma Michael W. Mahoney Bin Yu 45 347 0 23 Jun 2013
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 49 213 0 19 Apr 2013
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 83 471 0 27 Jun 2012
Hybrid Batch Bayesian Optimization J. Azimi A. Jalali Xiaoli Z. Fern 64 70 0 25 Feb 2012
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 73 901 0 24 Dec 2011
Fast approximation of matrix coherence and statistical leverage P. Drineas M. Magdon-Ismail Michael W. Mahoney David P. Woodruff 129 531 0 18 Sep 2011
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization Daniel Golovin Andreas Krause 128 600 0 21 Mar 2010