Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,815 papers shown

Title
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process Jeremiah Zhe Liu John Paisley M. Kioumourtzoglou B. Coull 17 1 0 08 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples Huangyi Ge Sze Yiu Chau Bruno Ribeiro Ninghui Li AAML 27 1 0 05 Dec 2018
Batch Selection for Parallelisation of Bayesian Quadrature E. Wagstaff Saad Hamid Michael A. Osborne 24 6 0 04 Dec 2018
Stochastic Gradient MCMC with Repulsive Forces Víctor Gallego D. Insua BDL 4 37 0 30 Nov 2018
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference Mahesh Subedar R. Krishnan P. López-Meyer Omesh Tickoo Jonathan Huang BDL EDL UQCV 29 0 0 27 Nov 2018
Sequential Variational Autoencoders for Collaborative Filtering Noveen Sachdeva Giuseppe Manco Ettore Ritacco Vikram Pudi BDL 18 102 0 25 Nov 2018
Streamlining Variational Inference for Constraint Satisfaction Problems Aditya Grover Tudor Achim Stefano Ermon 17 19 0 24 Nov 2018
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 22 119 0 24 Nov 2018
Surrogate-assisted parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain Arpit Kapoor Ashray Aman BDL 17 8 0 21 Nov 2018
Joint Mapping and Calibration via Differentiable Sensor Fusion Jonathan P. Chen F. Obermeyer V. Lyapunov L. Gueguen Noah D. Goodman 23 0 0 21 Nov 2018
Black-Box Autoregressive Density Estimation for State-Space Models Tom Ryder Andrew Golightly A. Mcgough D. Prangle BDL 11 6 0 20 Nov 2018
Geometry of Friston's active inference Martin Biehl LLMSV AI4CE LRM 9 0 0 20 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 15 354 0 09 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 14 19 0 09 Nov 2018
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles Remus Pop Patric Fulop UQCV 27 40 0 09 Nov 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 11 34 0 08 Nov 2018
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms Gautam Srivastava T. V. D. Laar Rajani Singh 19 54 0 08 Nov 2018
BAR: Bayesian Activity Recognition using variational inference R. Krishnan Mahesh Subedar S. Bhatnagar BDL UQCV 19 20 0 08 Nov 2018
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization Matthew Maciejewski J. Álvarez Adam Lesnikowski BDL UQCV 14 3 0 06 Nov 2018
A Variational Inference Algorithm for BKMR in the Cross-Sectional Setting Raphael Small B. Coull 14 0 0 06 Nov 2018
Superregular grammars do not provide additional explanatory power but allow for a compact analysis of animal song Takashi Morita H. Koda 14 7 0 05 Nov 2018
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora S. Zee Alice Havrileck 9 3 0 03 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 32 53 0 03 Nov 2018
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Michael I. Jordan Richard G. Baraniuk BDL GAN 29 8 0 01 Nov 2018
Strong consistency of the AIC, BIC, $C_p$ and KOO methods in high-dimensional multivariate linear regression Z. Bai Y. Fujikoshi Jiang Hu 20 5 0 30 Oct 2018
Using Large Ensembles of Control Variates for Variational Inference Tomas Geffner Justin Domke BDL 14 34 0 30 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 19 55 0 29 Oct 2018
Consistency of ELBO maximization for model selection Badr-Eddine Chérief-Abdellatif 6 18 0 28 Oct 2018
Adversarial Semantic Scene Completion from a Single Depth Image Yida Wang D. Tan Nassir Navab Federico Tombari 3DPC 19 32 0 25 Oct 2018
Expectation Propagation for Poisson Data Chen Zhang Simon Arridge Bangti Jin 14 13 0 18 Oct 2018
Calibration procedures for approximate Bayesian credible sets J. Lee Geoff K. Nicholls Robin J. Ryder 6 13 0 15 Oct 2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Michael I. Jordan Jon D. McAuliffe 15 31 0 10 Oct 2018
Non-linear process convolutions for multi-output Gaussian processes Mauricio A. Alvarez W. Ward Cristian Guarnizo Lemus 11 22 0 10 Oct 2018
Harmonizable mixture kernels with variational Fourier features Zheyan Shen Markus Heinonen Samuel Kaski 21 17 0 10 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 19 110 0 09 Oct 2018
Deep learning with differential Gaussian process flows Pashupati Hegde Markus Heinonen Harri Lähdesmäki Samuel Kaski BDL 10 42 0 09 Oct 2018
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 41 65 0 08 Oct 2018
Stein Neural Sampler Tianyang Hu Zixiang Chen Hanxi Sun Jincheng Bai Mao Ye Guang Cheng SyDa GAN 22 34 0 08 Oct 2018
Deep convolutional Gaussian processes Kenneth Blomqvist Samuel Kaski Markus Heinonen BDL 25 60 0 06 Oct 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 18 38 0 05 Oct 2018
Semiparametric Regression using Variational Approximations Francis K. C. Hui Chong You H. Shang Samuel G. Müller 14 16 0 03 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 24 171 0 01 Oct 2018
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming Guillaume Baudart Javier Burroni Martin Hirzel Louis Mandel Avraham Shinnar BDL 15 4 0 30 Sep 2018
Online Inference with Multi-modal Likelihood Functions Mathieu Gerber K. Heine 62 0 0 28 Sep 2018
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 16 65 0 27 Sep 2018
Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 19 28 0 25 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 52 0 0 12 Sep 2018
Topic Memory Networks for Short Text Classification Jichuan Zeng Jing Li Yan Song Cuiyun Gao Michael R. Lyu Irwin King BDL 14 131 0 11 Sep 2018
Bayesian dynamic variable selection in high dimensions Gary Koop Dimitris Korobilis 8 38 0 09 Sep 2018