Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

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Title
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 21 6 0 20 May 2020
Patient Similarity Analysis with Longitudinal Health Data Ahmed Allam Matthias Dittberner A. Sintsova D. Brodbeck Michael Krauthammer 23 14 0 14 May 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes Zhaozhi Qian Ahmed Alaa M. Schaar 27 33 0 13 May 2020
Text-Based Ideal Points Keyon Vafa S. Naidu David M. Blei 11 35 0 08 May 2020
Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance Feixiang He Yuanhang Xiang Xi Zhao He Wang 3DV 35 22 0 29 Apr 2020
Conditional Variational Image Deraining Yingjun Du Jun Xu Xiantong Zhen Ming-Ming Cheng Ling Shao 25 77 0 23 Apr 2020
Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit Tomoki Koriyama Hiroshi Saruwatari BDL 26 5 0 22 Apr 2020
Scaling Bayesian inference of mixed multinomial logit models to very large datasets Filipe Rodrigues BDL 21 3 0 11 Apr 2020
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning Shashank Bujimalla Mahesh Subedar Omesh Tickoo BDL UQCV 25 10 0 06 Apr 2020
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration Vojtech Kejzlar T. Maiti 18 6 0 28 Mar 2020
Bag of biterms modeling for short texts A. Tuan Bach Tran Thien Huu Nguyen Linh Ngo Van Khoat Than BDL 14 10 0 26 Mar 2020
Bayesian Sparsification Methods for Deep Complex-valued Networks Ivan Nazarov Evgeny Burnaev BDL 22 0 0 25 Mar 2020
Deep Markov Spatio-Temporal Factorization Amirreza Farnoosh B. Rezaei Eli Sennesh Zulqarnain Khan Jennifer Dy Ajay Satpute J. B. Hutchinson Jan-Willem van de Meent Sarah Ostadabbas AI4TS 20 4 0 22 Mar 2020
Dynamic transformation of prior knowledge into Bayesian models for data streams Tran Xuan Bach N. Anh Ngo Van Linh Khoat Than 11 8 0 13 Mar 2020
A Graph Convolutional Topic Model for Short and Noisy Text Streams Ngo Van Linh Tran Xuan Bach Khoat Than 14 1 0 13 Mar 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay Qicheng Lao Xiang Jiang Mohammad Havaei Yoshua Bengio VLM 23 33 0 09 Mar 2020
Scalable Approximate Inference and Some Applications Jun Han BDL 24 1 0 07 Mar 2020
Scalable Uncertainty for Computer Vision with Functional Variational Inference Eduardo D C Carvalho R. Clark Andrea Nicastro Paul H. J. Kelly BDL UQCV 227 22 0 06 Mar 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback Jiawei Chen Can Wang Sheng Zhou Qihao Shi Jingbang Chen Yan Feng Chun-Yen Chen OffRL 51 56 0 04 Mar 2020
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 42 94 0 02 Mar 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 29 4 0 26 Feb 2020
Lipschitz standardization for multivariate learning Adrián Javaloy Isabel Valera 18 0 0 26 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 35 40 0 25 Feb 2020
Informative Bayesian Neural Network Priors for Weak Signals Tianyu Cui A. Havulinna Pekka Marttinen Samuel Kaski 35 9 0 24 Feb 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 21 4 0 19 Feb 2020
$π$ VAE: a stochastic process prior for Bayesian deep learning with MCMC Swapnil Mishra Seth Flaxman Tresnia Berah Harrison Zhu Mikko S. Pakkanen Samir Bhatt BDL 29 3 0 17 Feb 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows A. Bose Ariella Smofsky Renjie Liao Prakash Panangaden William L. Hamilton DRL 19 67 0 15 Feb 2020
The Phantom Steering Effect in Q&A Websites Nicholas Hoernle Gregory Kehne Ariel D. Procaccia Y. Gal LLMSV 6 2 0 14 Feb 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning Shahin Boluki Randy Ardywibowo Siamak Zamani Dadaneh Mingyuan Zhou Xiaoning Qian BDL 19 34 0 12 Feb 2020
Large Scale Tensor Regression using Kernels and Variational Inference Robert Hu Geoff K. Nicholls Dino Sejdinovic 17 4 0 11 Feb 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 48 64 0 09 Feb 2020
Automatic structured variational inference L. Ambrogioni Kate Lin Emily Fertig Sharad Vikram Max Hinne Dave Moore Marcel van Gerven BDL 32 29 0 03 Feb 2020
Towards a Kernel based Uncertainty Decomposition Framework for Data and Models Rishabh Singh José C. Príncipe UQCV UD 39 8 0 30 Jan 2020
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages Edoardo Ponti Ivan Vulić Ryan Cotterell Marinela Parović Roi Reichart Anna Korhonen BDL 31 29 0 30 Jan 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo Li Yuan Qi Le Song AI4CE 17 111 0 29 Jan 2020
Bayesian Reasoning with Trained Neural Networks Jakob Knollmüller T. Ensslin BDL UQCV 6 2 0 29 Jan 2020
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis Christopher J. Urban Daniel J. Bauer BDL 10 33 0 22 Jan 2020
Efficient Debiased Evidence Estimation by Multilevel Monte Carlo Sampling Kei Ishikawa T. Goda 6 2 0 14 Jan 2020
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models Jones Yirui Liu Xinghao Qiao Jessica Lam TPM 19 3 0 13 Jan 2020
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering Yohan Jung Jinkyoo Park 6 1 0 07 Jan 2020
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems Sebastian Kaltenbach P. Koutsourelakis AI4CE 24 35 0 30 Dec 2019
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro Du Phan Neeraj Pradhan M. Jankowiak 25 350 0 24 Dec 2019
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines Panagiotis Tsilifis I. Papaioannou D. Štraub F. Nobile 23 18 0 23 Dec 2019
Recurrent Hierarchical Topic-Guided RNN for Language Generation D. Guo Bo Chen Ruiying Lu Mingyuan Zhou BDL LRM 39 8 0 21 Dec 2019
Pseudo-Encoded Stochastic Variational Inference Amir Zadeh Smon Hessner Y. Lim Louis-Philippe Morency BDL 16 0 0 19 Dec 2019
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 22 2 0 09 Dec 2019
Bayesian stochastic multi-scale analysis via energy considerations M. Sarfaraz B. Rosic H. Matthies A. Ibrahimbegovic 6 6 0 06 Dec 2019
Ordinal Bayesian Optimisation Victor Picheny Sattar Vakili A. Artemev 12 8 0 05 Dec 2019
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers Walter Winci L. Buffoni Hossein Sadeghi Amir Khoshaman Evgeny Andriyash Mohammad H. Amin BDL DRL 13 59 0 04 Dec 2019
Scalable Bayesian Preference Learning for Crowds Edwin Simpson Iryna Gurevych BDL 19 24 0 04 Dec 2019