Structured Variational Inference in Unstable Gaussian Process State Space Models

16 July 2019

Papers citing "Structured Variational Inference in Unstable Gaussian Process State Space Models"

23 / 23 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 138 10,591 0 17 Feb 2020
Calibrated Model-Based Deep Reinforcement Learning Ali Malik Volodymyr Kuleshov Jiaming Song Danny Nemer Harlan Seymour Stefano Ermon 81 55 0 19 Jun 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models Alessandro Davide Ialongo Mark van der Wilk J. Hensman C. Rasmussen 63 30 0 13 Jun 2019
Non-Factorised Variational Inference in Dynamical Systems Alessandro Davide Ialongo Mark van der Wilk J. Hensman C. Rasmussen 39 6 0 14 Dec 2018
Towards Efficient Full Pose Omnidirectionality with Overactuated MAVs K. Bodie Zachary Taylor Mina Kamel Roland Siegwart 15 38 0 15 Oct 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 137 1,263 0 30 May 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors Rico Jonschkowski Divyam Rastogi Oliver Brock 41 135 0 28 May 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 44 121 0 31 Jan 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe M. Deisenroth 97 217 0 20 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 168 5,774 0 14 Jun 2017
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 52 111 0 30 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 61 418 0 24 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 108 845 0 23 May 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 56 452 0 30 Sep 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 159 4,748 0 04 Jan 2016
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 53 160 0 23 Nov 2015
Recurrent Gaussian Processes C. L. C. Mattos Zhenwen Dai Andreas C. Damianou Jeremy Forth G. Barreto Neil D. Lawrence BDL 43 75 0 20 Nov 2015
Translating Videos to Natural Language Using Deep Recurrent Neural Networks Subhashini Venugopalan Huijuan Xu Jeff Donahue Marcus Rohrbach Raymond J. Mooney Kate Saenko 80 951 0 15 Dec 2014
Variational Gaussian Process State-Space Models R. Frigola Yutian Chen C. Rasmussen BDL 33 177 0 18 Jun 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 563 23,235 0 03 Jun 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 63 1,226 0 26 Sep 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC R. Frigola Fredrik Lindsten Thomas B. Schon C. Rasmussen 76 149 0 12 Jun 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 163 2,605 0 29 Jun 2012