Advances in Variational Inference

15 November 2017

Papers citing "Advances in Variational Inference"

26 / 76 papers shown

Title
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning Qiang Liu Nakjung Choi Tao Han OffRL 10 29 0 02 Nov 2021
Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma Cheng Zhang 28 33 0 27 Oct 2021
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices Jan Povala Ieva Kazlauskaite Eky Febrianto F. Cirak Mark Girolami 13 22 0 22 Oct 2021
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management Daniele Gammelli Yihua Wang Dennis Prak Filipe Rodrigues Stefan Minner Francisco Câmara Pereira AI4TS 6 36 0 28 Jul 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 48 73 0 09 Jul 2021
Variational Bayes in State Space Models: Inferential and Predictive Accuracy David T. Frazier Rubén Loaiza-Maya G. Martin 11 13 0 23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 22 2 0 23 Jun 2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums Jialin Yu Laila Alrajhi Anoushka Harit Zhongtian Sun Alexandra I. Cristea Lei Shi BDL UQCV 8 8 0 26 Apr 2021
Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques D. Kaur S. Islam Md. Apel Mahmud Md Enamul Haque ZhaoYang Dong AI4TS 6 31 0 25 Nov 2020
Flexible mean field variational inference using mixtures of non-overlapping exponential families J. Spence 11 4 0 14 Oct 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting G. Felhi Joseph Leroux Djamé Seddah BDL 16 1 0 13 Oct 2020
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models Sean Plummer D. Pati A. Bhattacharya 17 18 0 13 Jul 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba Adil Salim Michael Arbel Giulia Luise A. Gretton 6 76 0 17 Jun 2020
The $f$ -Divergence Expectation Iteration Scheme Kamélia Daudel Randal Douc Franccois Portier François Roueff 15 1 0 26 Sep 2019
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy Javier Cózar Rafael Cabañas Antonio Salmerón A. Masegosa BDL 8 3 0 29 Aug 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 13 207 0 28 Jul 2019
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 11 245 0 09 Jul 2019
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 13 21 0 04 Jun 2019
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 16 58 0 05 Oct 2018
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Butepage Hedvig Kjellström Danica Kragic 44 8 0 24 Sep 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 74 266 0 13 Jun 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 17 243 0 07 Feb 2018
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 153 230 0 27 Feb 2017
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 79 36 0 01 Nov 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 160 1,122 0 25 Jul 2012
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012