Gaussian Processes for Big Data

26 September 2013

Papers citing "Gaussian Processes for Big Data"

50 / 604 papers shown

Title
Inferring solutions of differential equations using noisy multi-fidelity data M. Raissi P. Perdikaris George Karniadakis AI4CE 80 291 0 16 Jul 2016
Exploring Prediction Uncertainty in Machine Translation Quality Estimation Daniel Beck Lucia Specia Trevor Cohn UQLM 84 19 0 30 Jun 2016
Disease Trajectory Maps Peter F. Schulam R. Arora 39 21 0 29 Jun 2016
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 78 260 0 15 Jun 2016
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 98 25 0 23 May 2016
Dynamic Decomposition of Spatiotemporal Neural Signals L. Ambrogioni Marcel van Gerven E. Maris 27 44 0 09 May 2016
Gaussian Process Autonomous Mapping and Exploration for Range Sensing Mobile Robots Maani Ghaffari Jadidi Jaime Valls Miro G. Dissanayake GP 102 103 0 02 May 2016
Approximation Vector Machines for Large-scale Online Learning Trung Le T. Nguyen Vu Nguyen Dinh Q. Phung 75 27 0 22 Apr 2016
Chained Gaussian Processes Alan D. Saul J. Hensman Aki Vehtari Neil D. Lawrence 55 59 0 18 Apr 2016
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis Andreas C. Damianou Neil D. Lawrence Carl Henrik Ek 79 12 0 17 Apr 2016
Adaptive Path Planning for Depth Constrained Bathymetric Mapping with an Autonomous Surface Vessel T. Wilson Stefan B. Williams 29 29 0 21 Mar 2016
System Identification through Online Sparse Gaussian Process Regression with Input Noise Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 140 41 0 29 Jan 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 473 4,832 0 04 Jan 2016
Transductive Log Opinion Pool of Gaussian Process Experts Yanshuai Cao David J. Fleet 17 6 0 24 Nov 2015
Thoughts on Massively Scalable Gaussian Processes A. Wilson Christoph Dann H. Nickisch 123 110 0 05 Nov 2015
Gaussian Process Random Fields David A. Moore Stuart J. Russell GP 57 19 0 31 Oct 2015
Blitzkriging: Kronecker-structured Stochastic Gaussian Processes T. Nickson Tom Gunter C. Lloyd Michael A. Osborne Stephen J. Roberts 100 21 0 27 Oct 2015
Fast Gaussian Process Regression for Big Data Sourish Das Sasanka Roy R. Sambasivan GP 116 48 0 17 Sep 2015
Learning Structural Kernels for Natural Language Processing Daniel Beck Trevor Cohn Christian Hardmeier Lucia Specia BDL 39 19 0 10 Aug 2015
String and Membrane Gaussian Processes Yves-Laurent Kom Samo Stephen J. Roberts 89 18 0 24 Jul 2015
Inference for determinantal point processes without spectral knowledge Rémi Bardenet Michalis K. Titsias 79 24 0 04 Jul 2015
Correlated Random Measures Rajesh Ranganath David M. Blei 206 21 0 02 Jul 2015
Mondrian Forests for Large-Scale Regression when Uncertainty Matters Balaji Lakshminarayanan Daniel M. Roy Yee Whye Teh UQCV 127 56 0 11 Jun 2015
Provable Bayesian Inference via Particle Mirror Descent Bo Dai Niao He H. Dai Le Song 155 73 0 09 Jun 2015
Dropout as a Bayesian Approximation: Appendix Y. Gal Zoubin Ghahramani BDL 113 66 0 06 Jun 2015
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes A. G. Matthews J. Hensman Richard Turner Zoubin Ghahramani 131 192 0 27 Apr 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Y. Gal Richard Turner 87 79 0 09 Mar 2015
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data Y. Gal Yutian Chen Zoubin Ghahramani SyDa 92 41 0 07 Mar 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 114 515 0 03 Mar 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 106 1,045 0 19 Feb 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 114 342 0 10 Feb 2015
Discriminative training for Convolved Multiple-Output Gaussian processes S. Gómez-González Mauricio A. Alvarez Hernán García GP 30 4 0 07 Feb 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) Maurizio Filippone Raphael Engler 116 31 0 22 Jan 2015
Unbiased Bayes for Big Data: Paths of Partial Posteriors Heiko Strathmann Dino Sejdinovic Mark Girolami 156 18 0 14 Jan 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 232 288 0 14 Jan 2015
GP-select: Accelerating EM using adaptive subspace preselection Jacquelyn A. Shelton Jan Gasthaus Zhenwen Dai Jörg Lücke Arthur Gretton 94 18 0 10 Dec 2014
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression Jun Wei Ng M. Deisenroth 82 51 0 09 Dec 2014
Nested Variational Compression in Deep Gaussian Processes J. Hensman Neil D. Lawrence BDL 68 67 0 03 Dec 2014
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation K. H. Low J. Yu Jie Chen Patrick Jaillet 65 52 0 17 Nov 2014
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 122 646 0 07 Nov 2014
Variational Inference for Gaussian Process Modulated Poisson Processes C. Lloyd Tom Gunter Michael A. Osborne Stephen J. Roberts 91 117 0 02 Nov 2014
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions Yanshuai Cao David J. Fleet 88 186 0 28 Oct 2014
Gaussian Process Models with Parallelization and GPU acceleration Zhenwen Dai Andreas C. Damianou J. Hensman Neil D. Lawrence GP 63 36 0 18 Oct 2014
Probabilistic Network Metrics: Variational Bayesian Network Centrality Harold Soh 72 0 0 15 Sep 2014
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning T. Nickson Michael A. Osborne S. Reece Stephen J. Roberts 80 25 0 30 Jul 2014
Efficient Bayesian Nonparametric Modelling of Structured Point Processes Tom Gunter C. Lloyd Michael A. Osborne Stephen J. Roberts 3DPC 3DV 93 30 0 25 Jul 2014
Smoothed Gradients for Stochastic Variational Inference Stephan Mandt David M. Blei BDL DiffM 104 29 0 13 Jun 2014
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach S. Tajbakhsh N. Aybat E. Castillo 91 10 0 21 May 2014
Fast Direct Methods for Gaussian Processes Sivaram Ambikasaran D. Foreman-Mackey L. Greengard D. Hogg M. O’Neil 122 386 0 24 Mar 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models Y. Gal Mark van der Wilk C. Rasmussen 113 150 0 06 Feb 2014