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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
Federated Estimation of Causal Effects from Observational Data Thanh Vinh Vo T. Hoang Young Lee Tze-Yun Leong FedML CML 73 13 0 31 May 2021
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences A. Panos Ioannis Kosmidis P. Dellaportas 56 2 0 30 May 2021
Deep Ensembles from a Bayesian Perspective L. Hoffmann Clemens Elster UD BDL UQCV 74 38 0 27 May 2021
Causally Constrained Data Synthesis for Private Data Release Varun Chandrasekaran Darren Edge S. Jha Amit Sharma Cheng Zhang Shruti Tople SyDa 132 3 0 27 May 2021
Augmented KRnet for density estimation and approximation Xiaoliang Wan Keju Tang 71 5 0 26 May 2021
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity Michael Morris Peter A. Hayes Ingemar J. Cox Vasileios Lampos 115 1 0 26 May 2021
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence Po-Kan Shih 3DV 30 0 0 25 May 2021
Informative Bayesian model selection for RR Lyrae star classifiers Francisco Pérez-Galarce K. Pichara P. Huijse M. Catelán Domingo Mery 37 1 0 24 May 2021
Understanding Uncertainty in Bayesian Deep Learning Cooper Lorsung BDL UQCV 31 0 0 21 May 2021
Geometric variational inference Philipp Frank R. Leike T. Ensslin 76 24 0 21 May 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 116 26 0 20 May 2021
Scalable Bayesian Approach for the DINA Q-matrix Estimation Combining Stochastic Optimization and Variational Inference Motonori Oka Kensuke Okada 55 6 0 20 May 2021
Boosting Variational Inference With Locally Adaptive Step-Sizes Gideon Dresdner Saurav Shekhar Fabian Pedregosa Francesco Locatello Gunnar Rätsch 43 2 0 19 May 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity Riccardo Poiani Andrea Tirinzoni Marcello Restelli OffRL 91 10 0 18 May 2021
Posterior Regularization on Bayesian Hierarchical Mixture Clustering Weipéng Huáng T. L. J. Ng Nishma Laitonjam N. Hurley 137 3 0 14 May 2021
DoS and DDoS Mitigation Using Variational Autoencoders Eirik Molde Bårli Anis Yazidi E. Herrera-Viedma H. Haugerud AAML DRL 36 16 0 14 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 139 134 0 14 May 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir J. Hensman Mark van der Wilk Carl Henrik Ek Zoubin Ghahramani N. Durrande BDL UQCV 106 31 0 10 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 45 40 0 09 May 2021
Interpretable machine learning for high-dimensional trajectories of aging health Spencer Farrell Arnold Mitnitski Kenneth Rockwood Andrew Rutenberg AI4CE 45 20 0 07 May 2021
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery Thomas Glarner Janek Ebbers Reinhold Häb-Umbach DRL 27 1 0 04 May 2021
Supervised multi-specialist topic model with applications on large-scale electronic health record data Ziyang Song Xavier Sumba Toral Yixin Xu Aihua Liu Liming Guo G. Powell Aman Verma David L. Buckeridge Ariane Marelli Yue Li 29 12 0 04 May 2021
How Bayesian Should Bayesian Optimisation Be? George De Ath Richard Everson J. Fieldsend 65 6 0 03 May 2021
Tightening the Biological Constraints on Gradient-Based Predictive Coding Nick Alonso Emre Neftci 59 7 0 30 Apr 2021
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling Simen Eide David S. Leslie A. Frigessi BDL OffRL 79 9 0 30 Apr 2021
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation T. S. Jepsen Christian S. Jensen Thomas D. Nielsen OT AI4TS 106 2 0 27 Apr 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 82 8 0 26 Apr 2021
Variational Inference in high-dimensional linear regression Soumendu Sundar Mukherjee S. Sen BDL 51 24 0 25 Apr 2021
Breiman's two cultures: You don't have to choose sides Andrew C. Miller N. Foti E. Fox 68 11 0 25 Apr 2021
Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker Théophile Champion Marek Grze's Howard L. Bowman 56 1 0 23 Apr 2021
Probabilistic Rainfall Estimation from Automotive Lidar Robin Karlsson D. Wong Kazunari Kawabata S. Thompson N. Sakai 69 12 0 23 Apr 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation Adam Scibior Vasileios Lioutas Daniele Reda Peyman Bateni Frank Wood VGen 113 48 0 22 Apr 2021
On the Robustness to Misspecification of $α$ -Posteriors and Their Variational Approximations Marco Avella-Medina J. M. Olea Cynthia Rush Amilcar Velez 78 19 0 16 Apr 2021
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion D. Svendsen Pablo Morales-Álvarez A. Ruescas Rafael Molina Gustau Camps-Valls 141 30 0 16 Apr 2021
Viking: Variational Bayesian Variance Tracking Joseph de Vilmarest Olivier Wintenberger BDL AI4TS 64 5 0 16 Apr 2021
Variational Inference for Category Recommendation in E-Commerce platforms Ramasubramanian Balasubramanian Venugopal Mani Abhinav Mathur Sushant Kumar Kannan Achan CML DRL 104 1 0 15 Apr 2021
Variational Inference for the Smoothing Distribution in Dynamic Probit Models A. Fasano Giovanni Rebaudo 55 4 0 15 Apr 2021
Learning by example: fast reliability-aware seismic imaging with normalizing flows Ali Siahkoohi Felix J. Herrmann OOD 85 13 0 13 Apr 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 105 8 0 13 Apr 2021
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 118 55 0 09 Apr 2021
Uncertainty-aware Remaining Useful Life predictor Luca Biggio Alexander Wieland M. A. Chao I. Kastanis Olga Fink AI4CE 37 7 0 08 Apr 2021
Laplace-aided variational inference for differential equation models Hyunjoo Yang Jaeyong Lee 18 1 0 07 Apr 2021
Quasi-Newton Quasi-Monte Carlo for variational Bayes Sifan Liu Art B. Owen BDL 43 4 0 07 Apr 2021
Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes M. Villani M. Quiroz Robert Kohn R. Salomone AI4TS 37 8 0 05 Apr 2021
Generative Locally Linear Embedding Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 19 4 0 04 Apr 2021
Variational Inference MPC using Tsallis Divergence Ziyi Wang Oswin So Jason Gibson Bogdan I. Vlahov Manan S. Gandhi Guan-Horng Liu Evangelos A. Theodorou 92 35 0 01 Apr 2021
Modeling Graph Node Correlations with Neighbor Mixture Models Linfeng Liu Michael Hughes Liping Liu 111 0 0 29 Mar 2021
Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation Mathias Löwe Per Lunnemann Hansen S. Risi BDL 9 1 0 29 Mar 2021
Cloud2Curve: Generation and Vectorization of Parametric Sketches Ayan Das Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song 102 30 0 29 Mar 2021
Variational Rejection Particle Filtering Rahul Sharma S. Banerjee Dootika Vats Piyush Rai BDL 71 0 0 29 Mar 2021