v1v2 (latest)

Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models

13 March 2017

Mohammad Emtiyaz Khan

Wu Lin

BDL

ArXiv (abs)PDF HTML

Papers citing "Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models"

45 / 95 papers shown

Title
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation Linda S. L. Tan 108 13 0 01 Sep 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 165 83 0 09 Jul 2021
Flexible Variational Bayes based on a Copula of a Mixture David Gunawan Robert Kohn David J. Nott 107 12 0 28 Jun 2021
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes Will Tebbutt Arno Solin Richard Turner 56 8 0 18 Jun 2021
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks J. Gong Osvaldo Simeone Joonhyuk Kang FedML MU 82 13 0 08 Apr 2021
Sparse Algorithms for Markovian Gaussian Processes William J. Wilkinson Arno Solin Vincent Adam 62 12 0 19 Mar 2021
A practical tutorial on Variational Bayes Minh-Ngoc Tran Trong-Nghia Nguyen Viet-Hung Dao BDL 79 38 0 01 Mar 2021
Tractable structured natural gradient descent using local parameterizations Wu Lin Frank Nielsen Mohammad Emtiyaz Khan Mark Schmidt 146 30 0 15 Feb 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 84 17 0 15 Dec 2020
Flexible mean field variational inference using mixtures of non-overlapping exponential families J. Spence 55 4 0 14 Oct 2020
Non-exponentially weighted aggregation: regret bounds for unbounded loss functions Pierre Alquier 105 19 0 07 Sep 2020
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 91 108 0 25 Jul 2020
Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks Alexander Immer BDL 46 4 0 21 Jul 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes William J. Wilkinson Paul E. Chang Michael Riis Andersen Arno Solin 58 13 0 12 Jul 2020
Fast Variational Learning in State-Space Gaussian Process Models Paul E. Chang William J. Wilkinson Mohammad Emtiyaz Khan Arno Solin BDL 79 24 0 09 Jul 2020
Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule Xiangming Meng 53 0 0 09 Jul 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 60 4 0 26 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 103 43 0 25 Feb 2020
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin Mark Schmidt Mohammad Emtiyaz Khan BDL 181 36 0 24 Feb 2020
Automatic structured variational inference L. Ambrogioni Kate Lin Emily Fertig Sharad Vikram Max Hinne Dave Moore Marcel van Gerven BDL 84 31 0 03 Feb 2020
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model Juan J. Giraldo Mauricio A. Alvarez BDL 110 5 0 22 Nov 2019
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures Wu Lin Mohammad Emtiyaz Khan Mark Schmidt 123 31 0 29 Oct 2019
Black-box Optimizer with Implicit Natural Gradient Yueming Lyu Ivor W. Tsang 65 0 0 09 Oct 2019
Variational Bayes on Manifolds Minh-Ngoc Tran D. Nguyen Duy Nguyen 103 23 0 08 Aug 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations Wu Lin Mohammad Emtiyaz Khan Mark Schmidt BDL 111 71 0 07 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 167 247 0 06 Jun 2019
Scalable Training of Inference Networks for Gaussian-Process Models Jiaxin Shi Mohammad Emtiyaz Khan Jun Zhu BDL 49 18 0 27 May 2019
A Generalization Bound for Online Variational Inference Badr-Eddine Chérief-Abdellatif Pierre Alquier Mohammad Emtiyaz Khan BDL 69 27 0 08 Apr 2019
Pairwise Comparisons with Flexible Time-Dynamics Lucas Maystre Victor Kristof Matthias Grossglauser SyDa 18 0 0 18 Mar 2019
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke 74 36 0 24 Jan 2019
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language Matthew D. Hoffman Matthew J. Johnson Dustin Tran 54 17 0 29 Nov 2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 91 56 0 27 Nov 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient Aaron Mishkin Frederik Kunstner Didrik Nielsen Mark Schmidt Mohammad Emtiyaz Khan BDL UQCV 92 60 0 11 Nov 2018
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora S. Zee Alice Havrileck 27 3 0 03 Nov 2018
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods Laurence Aitchison ODL 125 21 0 19 Jul 2018
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models Mohammad Emtiyaz Khan Didrik Nielsen BDL 119 63 0 12 Jul 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 194 271 0 13 Jun 2018
Variational Inference In Pachinko Allocation Machines Akash Srivastava Charles Sutton 73 6 0 21 Apr 2018
Variational Message Passing with Structured Inference Networks Wu Lin Nicolas Hubacher Mohammad Emtiyaz Khan BDL 94 54 0 15 Mar 2018
State Space Gaussian Processes with Non-Gaussian Likelihood H. Nickisch Arno Solin A. Grigorevskiy GP 90 32 0 13 Feb 2018
Topic Modeling on Health Journals with Regularized Variational Inference Robert Giaquinto A. Banerjee 63 6 0 15 Jan 2018
Vprop: Variational Inference using RMSprop Mohammad Emtiyaz Khan Zuozhu Liu Voot Tangkaratt Y. Gal BDL 81 17 0 04 Dec 2017
Variational Adaptive-Newton Method for Explorative Learning Mohammad Emtiyaz Khan Wu Lin Voot Tangkaratt Zuozhu Liu Didrik Nielsen ODL 81 20 0 15 Nov 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 51 3 0 24 May 2017
Monte Carlo Structured SVI for Two-Level Non-Conjugate Models Rishit Sheth Roni Khardon BDL 64 7 0 12 Dec 2016