On Sparse variational methods and the Kullback-Leibler divergence
between stochastic processes

On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes

27 April 2015

Zoubin Ghahramani

Papers citing "On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes"

16 / 116 papers shown

Title
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models Hugh Salimbeni Stefanos Eleftheriadis J. Hensman BDL 25 85 0 24 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 23 142 0 20 Mar 2018
The Gaussian Process Autoregressive Regression Model (GPAR) James Requeima Will Tebbutt W. Bruinsma Richard Turner 19 39 0 20 Feb 2018
Variational Inference for Gaussian Process Models with Linear Complexity Ching-An Cheng Byron Boots BDL 16 75 0 28 Nov 2017
Convolutional Gaussian Processes Mark van der Wilk C. Rasmussen J. Hensman BDL 17 130 0 06 Sep 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Hossein Soleimani J. Hensman Suchi Saria 13 60 0 16 Aug 2017
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes Hyunjik Kim Yee Whye Teh 10 51 0 08 Jun 2017
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 26 111 0 30 May 2017
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes Zhenwen Dai Mauricio A. Alvarez Neil D. Lawrence 14 33 0 27 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 34 415 0 24 May 2017
Streaming Sparse Gaussian Process Approximations T. Bui Cuong V Nguyen Richard Turner 16 101 0 19 May 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 23 200 0 21 Nov 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 16 657 0 27 Oct 2016
Generic Inference in Latent Gaussian Process Models Edwin V. Bonilla K. Krauth Amir Dezfouli BDL 23 28 0 02 Sep 2016
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 19 255 0 15 Jun 2016
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 24 25 0 23 May 2016