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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
Stein Variational Gradient Descent with Multiple Kernel Qingzhong Ai Shiyu Liu Lirong He Zenglin Xu 69 5 0 20 Jul 2021
Structured Stochastic Gradient MCMC Antonios Alexos Alex Boyd Stephan Mandt BDL 76 13 0 19 Jul 2021
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods Marylou Gabrié Grant M. Rotskoff Eric Vanden-Eijnden 52 21 0 16 Jul 2021
Tracing Halpha Fibrils through Bayesian Deep Learning Haodi Jiang J. Jing Jiasheng Wang Chang Liu Qin Li Yan Xu Jinqiao Wang Haimin Wang 29 14 0 16 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 116 50 0 16 Jul 2021
Spectrum Gaussian Processes Based On Tunable Basis Functions Wenqi Fang Guanlin Wu Jingjing Li Ziyi Wang Jiang Cao Yang Ping 25 0 0 14 Jul 2021
Bayesian brains and the Rényi divergence Noor Sajid Francesco Faccio Lancelot Da Costa Thomas Parr Jürgen Schmidhuber Karl J. Friston 152 13 0 12 Jul 2021
Noisy Training Improves E2E ASR for the Edge Dilin Wang Yuan Shangguan Haichuan Yang P. Chuang Jiatong Zhou Meng Li Ganesh Venkatesh Ozlem Kalinli Vikas Chandra 79 4 0 09 Jul 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 167 83 0 09 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing Tomas Geffner Justin Domke 95 36 0 08 Jul 2021
Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics Ryan Giordano Runjing Liu Michael I. Jordan Tamara Broderick 31 16 0 08 Jul 2021
Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows Vincent Moens Aivar Sootla H. Ammar Jun Wang TPM 80 1 0 06 Jul 2021
Randomized multilevel Monte Carlo for embarrassingly parallel inference Ajay Jasra K. Law Alexander Tarakanov Fangyuan Yu 85 2 0 05 Jul 2021
Variational Bayesian Inference for a Polytomous-Attribute Saturated Diagnostic Classification Model with Parallel Computing Motonori Oka S. Saso Kensuke Okada 24 0 0 05 Jul 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 81 111 0 02 Jul 2021
Valid prediction intervals for regression problems Nicolas Dewolf B. De Baets Willem Waegeman 171 46 0 01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 117 8 0 30 Jun 2021
Dep- $L_0$ : Improving $L_0$ -based Network Sparsification via Dependency Modeling Yang Li Shihao Ji 35 1 0 30 Jun 2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi-An Ma Michael I. Jordan BDL 129 40 0 30 Jun 2021
Flexible Variational Bayes based on a Copula of a Mixture David Gunawan Robert Kohn David J. Nott 107 12 0 28 Jun 2021
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework Rui Sun P. Jia Yongyang Sun Zhimin Yang Qiang Liu H. Wei 3DPC 59 4 0 28 Jun 2021
Use of Variational Inference in Music Emotion Recognition Nathalie Deziderio Hugo T. Carvalho BDL 17 0 0 27 Jun 2021
Black Box Variational Bayesian Model Averaging Vojtech Kejzlar Shrijita Bhattacharya Mookyong Son T. Maiti BDL 53 3 0 23 Jun 2021
Variational Bayes in State Space Models: Inferential and Predictive Accuracy David T. Frazier Rubén Loaiza-Maya G. Martin 72 13 0 23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 73 2 0 23 Jun 2021
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency Prateek Jaiswal Harsha Honnappa Vinayak A. Rao 28 2 0 23 Jun 2021
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization Michael Celentano Z. Fan Song Mei FedML 103 23 0 21 Jun 2021
Variational multiple shooting for Bayesian ODEs with Gaussian processes Pashupati Hegde Çağatay Yıldız Harri Lähdesmäki Samuel Kaski Markus Heinonen 88 16 0 21 Jun 2021
Nonparametric Hamiltonian Monte Carlo Carol Mak Fabian Zaiser C.-H. Luke Ong 69 6 0 18 Jun 2021
Patch-Based Image Restoration using Expectation Propagation Dan Yao S. Mclaughlin Y. Altmann DiffM 56 5 0 18 Jun 2021
Causal Bias Quantification for Continuous Treatments Gianluca Detommaso Michael Bruckner Philip Schulz Victor Chernozhukov CML 105 0 0 17 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 131 40 0 16 Jun 2021
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures Yashas Annadani Jonas Rothfuss Alexandre Lacoste Nino Scherrer Anirudh Goyal Yoshua Bengio Stefan Bauer BDL CML 84 48 0 14 Jun 2021
Posterior Temperature Optimization in Variational Inference for Inverse Problems M. Laves Malte Tolle Alexander Schlaefer Sandy Engelhardt 109 3 0 11 Jun 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 75 35 0 11 Jun 2021
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties Alex Troy Mallen Henning Lange J. Nathan Kutz AI4TS 63 8 0 10 Jun 2021
Conditional COT-GAN for Video Prediction with Kernel Smoothing Tianlin Xu Beatrice Acciaio GAN AI4TS CML 33 5 0 10 Jun 2021
An Interpretable Neural Network for Parameter Inference Johann Pfitzinger 69 0 0 10 Jun 2021
Bayesian Attention Belief Networks Shujian Zhang Xinjie Fan Bo Chen Mingyuan Zhou BDL 110 32 0 09 Jun 2021
Loss function based second-order Jensen inequality and its application to particle variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama 74 4 0 09 Jun 2021
Nonlinear Hawkes Processes in Time-Varying System Feng Zhou Quyu Kong Yixuan Zhang Cheng Feng Jun Zhu 31 6 0 09 Jun 2021
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance Wenhao Ding Hao-ming Lin Yue Liu Ding Zhao GAN 132 1 0 08 Jun 2021
Bayesian inference on high-dimensional multivariate binary responses Antik Chakraborty Rihui Ou David B. Dunson 29 4 0 03 Jun 2021
Towards a Mathematical Theory of Abstraction Beren Millidge AI4CE 23 2 0 03 Jun 2021
Evidential Turing Processes M. Kandemir Abdullah Akgul Manuel Haussmann Gözde B. Ünal EDL UQCV BDL 70 10 0 02 Jun 2021
Large-Scale Wasserstein Gradient Flows Petr Mokrov Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Evgeny Burnaev 103 76 0 01 Jun 2021
A survey of machine learning-based physics event generation Yasir Alanazi Nobuo Sato P. Ambrozewicz A. H. Blin W. Melnitchouk M. Battaglieri Tianbo Liu Yaohang Li AI4CE 61 17 0 01 Jun 2021
Transformation Models for Flexible Posteriors in Variational Bayes Sefan Hörtling Daniel Dold Oliver Durr Beate Sick 45 0 0 01 Jun 2021
Fitting Structural Equation Models via Variational Approximations Khue-Dung Dang Luca Maestrini 38 10 0 31 May 2021
Cascaded Head-colliding Attention Lin Zheng Zhiyong Wu Lingpeng Kong 55 2 0 31 May 2021