Variational Probabilistic Inference and the QMR-DT Network

27 May 2011

Papers citing "Variational Probabilistic Inference and the QMR-DT Network"

35 / 35 papers shown

Title
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis Yuliang Xu Timothy D. Johnson Thomas E. Nichols Jian Kang 21 0 0 19 Apr 2024
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation Antoine Dedieu Guangyao Zhou Dileep George Miguel Lazaro-Gredilla BDL 23 2 0 31 Jan 2023
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 25 14 0 22 Sep 2022
Mixed-Effect Thompson Sampling Imad Aouali B. Kveton S. Katariya OffRL 45 11 0 30 May 2022
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis Hong Guan Chitta Baral 90 9 0 15 Oct 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 85 6 0 15 Jan 2021
Convex Polytope Trees Mohammadreza Armandpour Mingyuan Zhou 6 1 0 21 Oct 2020
ABC-Di: Approximate Bayesian Computation for Discrete Data I. Auzina Jakub M. Tomczak 8 0 0 19 Oct 2020
Bloom Origami Assays: Practical Group Testing L. Abraham Gary Bécigneul Benjamin Coleman Bernhard Schölkopf Anshumali Shrivastava Alex Smola 6 5 0 21 Jul 2020
Belief Propagation Neural Networks Jonathan Kuck Shuvam Chakraborty Hao Tang Rachel Luo Jiaming Song Ashish Sabharwal Stefano Ermon 10 39 0 01 Jul 2020
The accuracy vs. coverage trade-off in patient-facing diagnosis models A. Kannan Jason Alan Fries Eric R. Kramer Jen Jen Chen N. Shah X. Amatriain 9 7 0 11 Dec 2019
Amortized Inference of Variational Bounds for Learning Noisy-OR Yiming Yan Melissa Ailem Fei Sha BDL 11 1 0 06 Jun 2019
Universal Marginalizer for Amortised Inference and Embedding of Generative Models R. Walecki A. Buchard Kostis Gourgoulias Chris Hart Maria Lomeli Alexandre Khae Wu Navarro Max Zwiessele Yura N. Perov Saurabh Johri BDL 13 2 0 12 Nov 2018
Learning from the experts: From expert systems to machine-learned diagnosis models Murali Ravuri A. Kannan Geoffrey Tso X. Amatriain 17 18 0 21 Apr 2018
Survey on Models and Techniques for Root-Cause Analysis Marc Solé V. Muntés-Mulero Annie Ibrahim Rana G. Estrada 8 93 0 30 Jan 2017
Hierarchical compositional feature learning Miguel Lazaro-Gredilla Yi Liu D. Phoenix Dileep George BDL OCL 27 12 0 07 Nov 2016
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages Avi Pfeffer Brian E. Ruttenberg William Kretschmer LRM 11 4 0 10 Jun 2016
Variational hybridization and transformation for large inaccurate noisy-or networks Yusheng Xie Nan Du Wei Fan Jing Zhai Weicheng Zhu BDL 9 1 0 20 May 2016
A latent-observed dissimilarity measure Y. T. G. S. O. I. Science 14 0 0 30 Mar 2016
Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis Mohan Rao 18 0 0 11 Dec 2015
Active Tuples-based Scheme for Bounding Posterior Beliefs Bozhena Bidyuk R. Dechter E. Rollon TPM 29 7 0 16 Jan 2014
Unsupervised Learning of Noisy-Or Bayesian Networks Y. Halpern David Sontag 26 38 0 26 Sep 2013
Simulation Approaches to General Probabilistic Inference on Belief Networks Ross D. Shachter M. Peot TPM 75 391 0 27 Mar 2013
Loopy Belief Propagation for Approximate Inference: An Empirical Study Kevin P. Murphy Yair Weiss Michael I. Jordan 3DV 72 1,879 0 23 Jan 2013
A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables Kevin P. Murphy 60 116 0 23 Jan 2013
Variational Approximations between Mean Field Theory and the Junction Tree Algorithm W. Wiegerinck 38 102 0 16 Jan 2013
Recognition Networks for Approximate Inference in BN20 Networks Q. Morris BDL 44 27 0 10 Jan 2013
Variational MCMC Nando de Freitas Pedro A. d. F. R. Højen-Sørensen Michael I. Jordan Stuart J. Russell BDL 45 105 0 10 Jan 2013
Bethe Bounds and Approximating the Global Optimum Adrian Weller Tony Jebara 34 15 0 31 Dec 2012
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge Vítor Santos Costa David Page Maleeha Qazi James Cussens 36 125 0 19 Oct 2012
Efficient Test Selection in Active Diagnosis via Entropy Approximation A. Zheng Irina Rish A. Beygelzimer 45 69 0 04 Jul 2012
Loopy Belief Propagation in Bayesian Networks : origin and possibilistic perspectives A. Ajroud Mohamed Nazih Omri H. Youssef S. Benferhat 3DV 39 3 0 05 Jun 2012
Bound Propagation H. Kappen Martijn A. R. Leisink 61 31 0 24 Jun 2011
Mean Field Methods for a Special Class of Belief Networks Chiranjib Bhattacharyya S. Keerthi 51 8 0 01 Jun 2011
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference Tamir Hazan Amnon Shashua TPM 58 123 0 18 Mar 2009