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Yee Whye Teh

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Amortized Rejection Sampling in Universal Probabilistic Programming

Oct 20, 2019
Saeid Naderiparizi, Adam Ścibior, Andreas Munk, Mehrdad Ghadiri, Atılım Güneş Baydin, Bradley Gram-Hansen, Christian Schroeder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

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Deep Amortized Clustering

Sep 30, 2019
Juho Lee, Yoonho Lee, Yee Whye Teh

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Stacked Capsule Autoencoders

Jun 17, 2019
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton

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Random Tessellation Forests

Jun 13, 2019
Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd T. Elliott

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Task Agnostic Continual Learning via Meta Learning

Jun 12, 2019
Xu He, Jakub Sygnowski, Alexandre Galashov, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu

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Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality

Jun 07, 2019
Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Balaji Lakshminarayanan

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Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings

Jun 05, 2019
Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic

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Hijacking Malaria Simulators with Probabilistic Programming

May 29, 2019
Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atılım Güneş Baydin

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Meta reinforcement learning as task inference

May 15, 2019
Jan Humplik, Alexandre Galashov, Leonard Hasenclever, Pedro A. Ortega, Yee Whye Teh, Nicolas Heess

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Meta-learning of Sequential Strategies

May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

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