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v1v2v3 (latest)

Edward: A library for probabilistic modeling, inference, and criticism

31 October 2016

Papers citing "Edward: A library for probabilistic modeling, inference, and criticism"

50 / 128 papers shown

Title
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy Javier Cózar Rafael Cabañas Antonio Salmerón A. Masegosa BDL 189 3 0 29 Aug 2019
Thompson Sampling with Approximate Inference My Phan Yasin Abbasi-Yadkori Justin Domke 151 29 0 14 Aug 2019
Probabilistic Models with Deep Neural Networks A. Masegosa Rafael Cabañas H. Langseth Thomas D. Nielsen Antonio Salmerón BDL 213 14 0 09 Aug 2019
Population Predictive Checks Rajesh Ranganath David M. Blei Rajesh Ranganath 243 17 0 02 Aug 2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 268 30 0 20 Jul 2019
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats EcosystemJournal of Statistical Software (JSS), 2019 Mathieu Besançon Theodore Papamarkou D. Anthoff Alex Arslan Simon Byrne Dahua Lin John Pearson GP 196 96 0 19 Jul 2019
Stochastic gradient Markov chain Monte CarloJournal of the American Statistical Association (JASA), 2019 Christopher Nemeth Paul Fearnhead BDL 204 150 0 16 Jul 2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed samplingConference on Uncertainty in Artificial Intelligence (UAI), 2019 J. Kudlicka Lawrence M. Murray F. Ronquist Thomas B. Schon 177 10 0 10 Jul 2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at ScaleInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2019 A. G. Baydin Lei Shao W. Bhimji Lukas Heinrich Lawrence Meadows ... Juil Sock Victor W. Lee Kyle Cranmer P. Prabhat Frank Wood 204 60 0 08 Jul 2019
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EMInverse Problems (IP), 2019 Roy R. Lederman Joakim Andén A. Singer 143 31 0 02 Jul 2019
Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings Fabio Massimo Zennaro 127 7 0 20 Jun 2019
Sampling Humans for Optimizing Preferences in Coloring Artwork M. McCourt Ian Dewancker 27 1 0 10 Jun 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed StabilitySIAM Journal on Applied Dynamical Systems (SIADS), 2019 Shaowu Pan Karthik Duraisamy 387 148 0 09 Jun 2019
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors P. Gurevich Hannes Stuke 78 1 0 21 May 2019
Neural Query Language: A Knowledge Base Query Language for Tensorflow William W. Cohen M. Siegler R. A. Hofer NAI 98 10 0 15 May 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records Linying Zhang Yixin Wang A. Ostropolets J. J. Mulgrave David M. Blei G. Hripcsak BDL CML 317 2 0 03 Apr 2019
$β^3$ -IRT: A New Item Response Model and its Applications Yu Chen Telmo de Menezes e Silva Filho R. Prudêncio Tom Diethe Peter A. Flach 321 34 0 10 Mar 2019
On Transformations in Stochastic Gradient MCMC Soma Yokoi Takuma Otsuka Issei Sato 179 1 0 07 Mar 2019
Statistical Guarantees for the Robustness of Bayesian Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 L. Cardelli Marta Kwiatkowska Luca Laurenti Nicola Paoletti A. Patané Matthew Wicker AAML 177 56 0 05 Mar 2019
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks Cassandra Burdziak E. Azizi Sandhya Prabhakaran Dana Peér 99 14 0 21 Feb 2019
Variational Bayesian Decision-making for Continuous UtilitiesNeural Information Processing Systems (NeurIPS), 2019 Tomasz Kuśmierczyk J. Sakaya Arto Klami 327 21 0 02 Feb 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language Willie Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric Xing 265 18 0 31 Jan 2019
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 310 134 0 10 Dec 2018
Unsupervised learning with contrastive latent variable models Kristen A. Severson S. Ghosh Kenney Ng SSL DRL 128 46 0 14 Nov 2018
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsInternational Journal of Approximate Reasoning (IJAR), 2018 Gautam Srivastava T. V. D. Laar Rajani Singh 114 55 0 08 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming Like Hui Matthew Hoffman Siyuan Ma Christopher Suter Srinivas Vasudevan Alexey Radul M. Belkin Rif A. Saurous BDL 152 59 0 05 Nov 2018
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic Maria I. Gorinova Andrew D. Gordon Charles Sutton 134 27 0 02 Nov 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 148 65 0 02 Oct 2018
Counterfactually Fair Prediction Using Multiple Causal Models Fabio Massimo Zennaro Magdalena Ivanovska 93 2 0 01 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 252 213 0 27 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 74 0 0 12 Sep 2018
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse Ruibo Tu P. Ackermann Hedvig Kjellström Cheng Zhang 155 4 0 08 Sep 2018
Noise Contrastive Priors for Functional Uncertainty Danijar Hafner Dustin Tran Timothy Lillicrap A. Irpan James Davidson AAML BDL UQCV 285 77 0 24 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard ModelNeural Information Processing Systems (NeurIPS), 2018 A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 428 32 0 20 Jul 2018
Quasi-Monte Carlo Variational InferenceInternational Conference on Machine Learning (ICML), 2018 Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 202 63 0 04 Jul 2018
Non-Parametric Calibration of Probabilistic Regression Hao Song Meelis Kull Peter A. Flach 158 4 0 20 Jun 2018
INFERNO: Inference-Aware Neural Optimisation P. D. Castro T. Dorigo 138 53 0 12 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 213 32 0 06 Jun 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms Yi Wu Siddharth Srivastava N. Hay S. Du Stuart J. Russell 196 28 0 06 Jun 2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization Luca Ambrogioni Umut Güçlü Julia Berezutskaya Eva W. P. van den Borne Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL VLM 113 19 0 29 May 2018
Wasserstein Variational Inference Luca Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 191 42 0 29 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 205 306 0 17 May 2018
Alpha-Beta Divergence For Variational Inference Jean-Baptiste Regli Ricardo M. A. Silva BDL 204 26 0 02 May 2018
The Importance of Constraint Smoothness for Parameter Estimation in Computational Cognitive Modeling Abraham Nunes A. Rudiuk 25 1 0 24 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 509 97 0 20 Mar 2018
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome Yingying Zhu M. Sabuncu 71 5 0 13 Mar 2018
Symbol Emergence in Cognitive Developmental Systems: a Survey T. Taniguchi Emre Ugur Matej Hoffmann L. Jamone Takayuki Nagai ... Toshihiko Matsuka N. Iwahashi Erhan Öztop J. Piater Florentin Wörgötter 127 106 0 26 Jan 2018
Sequential Preference-Based Optimization Ian Dewancker Jakob Bauer M. McCourt 203 6 0 09 Jan 2018
Probabilistic supervised learning Frithjof Gressmann Franz J. Király Bilal A. Mateen Harald Oberhauser 211 16 0 02 Jan 2018
SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model Tomoaki Nakamura Takayuki Nagai T. Taniguchi 3DV 239 47 0 04 Dec 2017

v1v2v3 (latest)

Edward: A library for probabilistic modeling, inference, and criticism

31 October 2016

Papers citing "Edward: A library for probabilistic modeling, inference, and criticism"

50 / 128 papers shown

Title
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy Javier Cózar Rafael Cabañas Antonio Salmerón A. Masegosa BDL 189 3 0 29 Aug 2019
Thompson Sampling with Approximate Inference My Phan Yasin Abbasi-Yadkori Justin Domke 151 29 0 14 Aug 2019
Probabilistic Models with Deep Neural Networks A. Masegosa Rafael Cabañas H. Langseth Thomas D. Nielsen Antonio Salmerón BDL 213 14 0 09 Aug 2019
Population Predictive Checks Rajesh Ranganath David M. Blei Rajesh Ranganath 243 17 0 02 Aug 2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 268 30 0 20 Jul 2019
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats EcosystemJournal of Statistical Software (JSS), 2019 Mathieu Besançon Theodore Papamarkou D. Anthoff Alex Arslan Simon Byrne Dahua Lin John Pearson GP 196 96 0 19 Jul 2019
Stochastic gradient Markov chain Monte CarloJournal of the American Statistical Association (JASA), 2019 Christopher Nemeth Paul Fearnhead BDL 204 150 0 16 Jul 2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed samplingConference on Uncertainty in Artificial Intelligence (UAI), 2019 J. Kudlicka Lawrence M. Murray F. Ronquist Thomas B. Schon 177 10 0 10 Jul 2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at ScaleInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2019 A. G. Baydin Lei Shao W. Bhimji Lukas Heinrich Lawrence Meadows ... Juil Sock Victor W. Lee Kyle Cranmer P. Prabhat Frank Wood 204 60 0 08 Jul 2019
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EMInverse Problems (IP), 2019 Roy R. Lederman Joakim Andén A. Singer 143 31 0 02 Jul 2019
Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings Fabio Massimo Zennaro 127 7 0 20 Jun 2019
Sampling Humans for Optimizing Preferences in Coloring Artwork M. McCourt Ian Dewancker 27 1 0 10 Jun 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed StabilitySIAM Journal on Applied Dynamical Systems (SIADS), 2019 Shaowu Pan Karthik Duraisamy 387 148 0 09 Jun 2019
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors P. Gurevich Hannes Stuke 78 1 0 21 May 2019
Neural Query Language: A Knowledge Base Query Language for Tensorflow William W. Cohen M. Siegler R. A. Hofer NAI 98 10 0 15 May 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records Linying Zhang Yixin Wang A. Ostropolets J. J. Mulgrave David M. Blei G. Hripcsak BDL CML 317 2 0 03 Apr 2019
$β^3$ -IRT: A New Item Response Model and its Applications Yu Chen Telmo de Menezes e Silva Filho R. Prudêncio Tom Diethe Peter A. Flach 321 34 0 10 Mar 2019
On Transformations in Stochastic Gradient MCMC Soma Yokoi Takuma Otsuka Issei Sato 179 1 0 07 Mar 2019
Statistical Guarantees for the Robustness of Bayesian Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 L. Cardelli Marta Kwiatkowska Luca Laurenti Nicola Paoletti A. Patané Matthew Wicker AAML 177 56 0 05 Mar 2019
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks Cassandra Burdziak E. Azizi Sandhya Prabhakaran Dana Peér 99 14 0 21 Feb 2019
Variational Bayesian Decision-making for Continuous UtilitiesNeural Information Processing Systems (NeurIPS), 2019 Tomasz Kuśmierczyk J. Sakaya Arto Klami 327 21 0 02 Feb 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language Willie Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric Xing 265 18 0 31 Jan 2019
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 310 134 0 10 Dec 2018
Unsupervised learning with contrastive latent variable models Kristen A. Severson S. Ghosh Kenney Ng SSL DRL 128 46 0 14 Nov 2018
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsInternational Journal of Approximate Reasoning (IJAR), 2018 Gautam Srivastava T. V. D. Laar Rajani Singh 114 55 0 08 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming Like Hui Matthew Hoffman Siyuan Ma Christopher Suter Srinivas Vasudevan Alexey Radul M. Belkin Rif A. Saurous BDL 152 59 0 05 Nov 2018
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic Maria I. Gorinova Andrew D. Gordon Charles Sutton 134 27 0 02 Nov 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 148 65 0 02 Oct 2018
Counterfactually Fair Prediction Using Multiple Causal Models Fabio Massimo Zennaro Magdalena Ivanovska 93 2 0 01 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 252 213 0 27 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 74 0 0 12 Sep 2018
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse Ruibo Tu P. Ackermann Hedvig Kjellström Cheng Zhang 155 4 0 08 Sep 2018
Noise Contrastive Priors for Functional Uncertainty Danijar Hafner Dustin Tran Timothy Lillicrap A. Irpan James Davidson AAML BDL UQCV 285 77 0 24 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard ModelNeural Information Processing Systems (NeurIPS), 2018 A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 428 32 0 20 Jul 2018
Quasi-Monte Carlo Variational InferenceInternational Conference on Machine Learning (ICML), 2018 Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 202 63 0 04 Jul 2018
Non-Parametric Calibration of Probabilistic Regression Hao Song Meelis Kull Peter A. Flach 158 4 0 20 Jun 2018
INFERNO: Inference-Aware Neural Optimisation P. D. Castro T. Dorigo 138 53 0 12 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 213 32 0 06 Jun 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms Yi Wu Siddharth Srivastava N. Hay S. Du Stuart J. Russell 196 28 0 06 Jun 2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization Luca Ambrogioni Umut Güçlü Julia Berezutskaya Eva W. P. van den Borne Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL VLM 113 19 0 29 May 2018
Wasserstein Variational Inference Luca Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 191 42 0 29 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 205 306 0 17 May 2018
Alpha-Beta Divergence For Variational Inference Jean-Baptiste Regli Ricardo M. A. Silva BDL 204 26 0 02 May 2018
The Importance of Constraint Smoothness for Parameter Estimation in Computational Cognitive Modeling Abraham Nunes A. Rudiuk 25 1 0 24 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 509 97 0 20 Mar 2018
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome Yingying Zhu M. Sabuncu 71 5 0 13 Mar 2018
Symbol Emergence in Cognitive Developmental Systems: a Survey T. Taniguchi Emre Ugur Matej Hoffmann L. Jamone Takayuki Nagai ... Toshihiko Matsuka N. Iwahashi Erhan Öztop J. Piater Florentin Wörgötter 127 106 0 26 Jan 2018
Sequential Preference-Based Optimization Ian Dewancker Jakob Bauer M. McCourt 203 6 0 09 Jan 2018
Probabilistic supervised learning Frithjof Gressmann Franz J. Király Bilal A. Mateen Harald Oberhauser 211 16 0 02 Jan 2018
SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model Tomoaki Nakamura Takayuki Nagai T. Taniguchi 3DV 239 47 0 04 Dec 2017