Gaussian Processes for Big Data

26 September 2013

Papers citing "Gaussian Processes for Big Data"

50 / 604 papers shown

Title
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong David Eriksson H. Nickisch D. Bindel A. Wilson 69 95 0 09 Nov 2017
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression Haibin Yu T. Hoang K. H. Low Patrick Jaillet BDL 191 24 0 01 Nov 2017
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 164 1,100 0 01 Nov 2017
Bayesian Nonparametric Models for Biomedical Data Analysis Tianjian Zhou 45 0 0 26 Oct 2017
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition Pavel Izmailov Alexander Novikov D. Kropotov 100 62 0 19 Oct 2017
Comparison of Gaussian process modeling software Collin B. Erickson Bruce E. Ankenman S. Sanchez GP 56 80 0 09 Oct 2017
Bayesian Alignments of Warped Multi-Output Gaussian Processes Markus Kaiser Clemens Otte Thomas Runkler Carl Henrik Ek 62 19 0 08 Oct 2017
Ensemble Multi-task Gaussian Process Regression with Multiple Latent Processes Weitong Ruan Eric L. Miller GP 21 4 0 22 Sep 2017
Forecasting of commercial sales with large scale Gaussian Processes Rodrigo Rivera Evgeny Burnaev 59 22 0 16 Sep 2017
Convolutional Gaussian Processes Mark van der Wilk C. Rasmussen J. Hensman BDL 107 132 0 06 Sep 2017
A Nonparametric Model for Multimodal Collaborative Activities Summarization Guy Rosman John W. Fisher III Daniela Rus EgoV 32 0 0 04 Sep 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Hossein Soleimani J. Hensman Suchi Saria 89 60 0 16 Aug 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 121 1,146 0 02 Aug 2017
Big Data Regression Using Tree Based Segmentation R. Sambasivan Sourish Das 50 6 0 24 Jul 2017
Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes Tomoharu Iwata Zoubin Ghahramani UQCV BDL 71 42 0 19 Jul 2017
Bayesian Nonlinear Support Vector Machines for Big Data F. Wenzel Théo Galy-Fajou M. Deutsch Marius Kloft BDL 73 27 0 18 Jul 2017
Properties and comparison of some Kriging sub-model aggregation methods François Bachoc N. Durrande D. Rullière C. Chevalier 70 10 0 17 Jul 2017
Large Scale Variable Fidelity Surrogate Modeling Evgeny Burnaev Alexey Zaytsev AI4CE 101 29 0 12 Jul 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 123 172 0 08 Jul 2017
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes Hyunjik Kim Yee Whye Teh 80 53 0 08 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 81 216 0 05 Jun 2017
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes Zhenwen Dai Mauricio A. Alvarez Neil D. Lawrence 62 33 0 27 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 144 424 0 24 May 2017
Streaming Sparse Gaussian Process Approximations T. Bui Cuong V Nguyen Richard Turner 89 103 0 19 May 2017
Learning of Gaussian Processes in Distributed and Communication Limited Systems Mostafa Tavassolipour S. Motahari M. Manzuri-Shalmani 59 22 0 07 May 2017
Asynchronous Distributed Variational Gaussian Processes for Regression Hao Peng Shandian Zhe Y. Qi 54 29 0 22 Apr 2017
Parametric Gaussian Process Regression for Big Data M. Raissi 111 39 0 11 Apr 2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions Hossein Soleimani Adarsh Subbaswamy Suchi Saria CML 97 23 0 06 Apr 2017
On the Statistical Efficiency of Compositional Nonparametric Prediction Yixi Xu Jean Honorio Tianlin Li 36 3 0 06 Apr 2017
Joint Regression and Ranking for Image Enhancement P. S. Chandakkar Baoxin Li 8 2 0 05 Apr 2017
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis 128 269 0 29 Mar 2017
Occupancy Map Building through Bayesian Exploration Gilad Francis Lionel Ott Román Marchant F. Ramos 81 22 0 01 Mar 2017
Embarrassingly Parallel Inference for Gaussian Processes M. Zhang Sinead Williamson 105 25 0 27 Feb 2017
Patchwork Kriging for Large-scale Gaussian Process Regression Chiwoo Park D. Apley 105 75 0 23 Jan 2017
Machine Learning of Linear Differential Equations using Gaussian Processes M. Raissi George Karniadakis 85 554 0 10 Jan 2017
Monte Carlo Structured SVI for Two-Level Non-Conjugate Models Rishit Sheth Roni Khardon BDL 76 7 0 12 Dec 2016
Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation Samir Bhatt E. Cameron Seth R Flaxman D. Weiss David L. Smith P. Gething 58 105 0 10 Dec 2016
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 99 202 0 21 Nov 2016
Faster variational inducing input Gaussian process classification Pavel Izmailov D. Kropotov 35 2 0 18 Nov 2016
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression Q. Hoang T. Hoang K. H. Low 64 39 0 18 Nov 2016
Stochastic Variational Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 144 268 0 01 Nov 2016
Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat A. Wilson Yunus Saatchi Zhiting Hu Eric Xing BDL 104 106 0 27 Oct 2016
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 104 666 0 27 Oct 2016
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models K. Krauth Edwin V. Bonilla Kurt Cutajar Maurizio Filippone GP BDL 73 54 0 18 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 68 144 0 14 Oct 2016
Gray-box inference for structured Gaussian process models P. Galliani Amir Dezfouli Edwin V. Bonilla Novi Quadrianto BDL 31 4 0 14 Sep 2016
On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms S. Van Vaerenbergh Jesus Fernandez-Bes Victor Elvira 20 7 0 11 Sep 2016
Generic Inference in Latent Gaussian Process Models Edwin V. Bonilla K. Krauth Amir Dezfouli BDL 74 28 0 02 Sep 2016
Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process Vahid Bastani L. Marcenaro C. Regazzoni 20 0 0 30 Aug 2016
Nested Kriging predictions for datasets with large number of observations D. Rullière N. Durrande François Bachoc C. Chevalier 79 67 0 19 Jul 2016