EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

28 September 2018

Chao Ma

Sebastian Tschiatschek

Konstantina Palla

José Miguel Hernández-Lobato

Sebastian Nowozin

Cheng Zhang

ArXiv PDF HTML

Papers citing "EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE"

27 / 27 papers shown

Title
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra Vidhi Lalchand Anna-Christina Eilers 71 0 0 27 Feb 2025
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings Henrik von Kleist Alireza Zamanian I. Shpitser Narges Ahmidi OffRL 30 2 0 03 Dec 2023
Fast Classification with Sequential Feature Selection in Test Phase A. Mirzaei V. Pourahmadi H. Sheikhzadeh Alireza Abdollahpourrostam 6 0 0 25 Jun 2023
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay Kwan Ho Ryan Chan B. Haeffele D. Geman René Vidal DRL 24 11 0 06 Feb 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 44 5 0 12 Jan 2023
Dealing with missing data using attention and latent space regularization J. Penny-Dimri Christoph Bergmeir Julian Smith 33 0 0 14 Nov 2022
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen Cătălina Cangea Eszter Vértes Andrew Jaegle Viorica Patraucean Ira Ktena Nenad Tomašev Danielle Belgrave 35 8 0 09 Nov 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 80 24 0 01 Sep 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 24 18 0 02 Mar 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 16 14 0 09 Feb 2022
Posterior Matching for Arbitrary Conditioning R. Strauss Junier B. Oliva CML BDL 36 6 0 28 Jan 2022
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 24 12 0 15 Nov 2021
Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma Cheng Zhang 36 34 0 27 Oct 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 42 20 0 23 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 33 124 0 14 May 2021
Contextual HyperNetworks for Novel Feature Adaptation A. Lamb Evgeny S. Saveliev Yingzhen Li Sebastian Tschiatschek Camilla Longden Simon Woodhead José Miguel Hernández-Lobato Richard Turner Pashmina Cameron Cheng Zhang OOD 20 6 0 12 Apr 2021
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge Zichao Wang A. Lamb Evgeny S. Saveliev Pashmina Cameron Yordan Zaykov ... Richard G. Baraniuk Craig Barton Simon L. Peyton Jones Simon Woodhead Cheng Zhang AI4Ed 29 21 0 08 Apr 2021
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 34 8 0 15 Dec 2020
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries Irving Gómez-Méndez Émilien Joly 22 2 0 10 Nov 2020
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 29 33 0 20 Oct 2020
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge Zichao Wang A. Lamb Evgeny S. Saveliev Pashmina Cameron Yordan Zaykov ... Richard G. Baraniuk Craig Barton Simon L. Peyton Jones Simon Woodhead Cheng Zhang AI4Ed 23 76 0 23 Jul 2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data Niels Bruun Ipsen Pierre-Alexandre Mattei J. Frellsen DRL 14 54 0 23 Jun 2020
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 16 180 0 14 Oct 2019
TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik Tomas Pfister LMTD 55 1,289 0 20 Aug 2019
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 27 245 0 09 Jul 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care H. Overweg Anna-Lena Popkes A. Ercole Yingzhen Li José Miguel Hernández-Lobato Yordan Zaykov Cheng Zhang 33 24 0 07 May 2019
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Pierre-Alexandre Mattei J. Frellsen SyDa 25 45 0 06 Dec 2018