VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics

27 May 2020

Richard Baraniuk

Papers citing "VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics"

24 / 24 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 212 10,591 0 17 Feb 2020
Variational Item Response Theory: Fast, Accurate, and Expressive Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman OffRL 62 55 0 01 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 265 42,038 0 03 Dec 2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model Wenbo Gong Sebastian Tschiatschek Richard Turner Sebastian Nowozin José Miguel Hernández-Lobato Cheng Zhang BDL 27 19 0 13 Aug 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 66 2,322 0 06 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 115 331 0 06 Jun 2019
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills Benoît Choffin Fabrice Popineau Yolaine Bourda Jill-Jênn Vie CLL 46 88 0 14 May 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 64 275 0 11 Feb 2019
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing Frank Soboczenski H. Kashima 38 161 0 08 Nov 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE Chao Ma Sebastian Tschiatschek Konstantina Palla José Miguel Hernández-Lobato Sebastian Nowozin Cheng Zhang 53 128 0 28 Sep 2018
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing Sein Minn Yi Yu Michel C. Desmarais Feida Zhu Jill-Jênn Vie AI4Ed 56 101 0 24 Sep 2018
Handling Incomplete Heterogeneous Data using VAEs A. Nazábal Pablo Martínez Olmos Zoubin Ghahramani Isabel Valera 42 345 0 10 Jul 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 44 1,336 0 16 Feb 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 128 1,222 0 16 Feb 2018
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 63 109 0 23 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 110 359 0 01 Jun 2017
Dynamic Key-Value Memory Networks for Knowledge Tracing Jiani Zhang Xingjian Shi Irwin King Dit-Yan Yeung AI4Ed KELM 47 612 0 24 Nov 2016
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation Kevin H. Wilson Yan Karklin B. Han Chaitanya Ekanadham 117 115 0 08 Apr 2016
Deep Knowledge Tracing Chris Piech J. Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas Guibas Jascha Narain Sohl-Dickstein AI4Ed HAI 84 1,145 0 19 Jun 2015
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 52 485 0 15 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 842 149,474 0 22 Dec 2014
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics Andrew Lan Christoph Studer Andrew E. Waters Richard G. Baraniuk 39 161 0 18 Dec 2014
Variational MCMC Nando de Freitas Pedro A. d. F. R. Højen-Sørensen Michael I. Jordan Stuart J. Russell BDL 73 105 0 10 Jan 2013
Nonlinear sequential designs for logistic item response theory models with applications to computerized adaptive tests Hua-Hua Chang Z. Ying 44 61 0 10 Jun 2009