Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Attentive Clustering Processes

Oct 29, 2020
Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski


  Access Paper or Ask Questions

Behavior Priors for Efficient Reinforcement Learning

Oct 27, 2020
Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess

* Submitted to Journal of Machine Learning Research (JMLR) 

  Access Paper or Ask Questions

Importance Weighted Policy Learning and Adaption

Sep 10, 2020
Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess


  Access Paper or Ask Questions

Bootstrapping Neural Processes

Aug 07, 2020
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh


  Access Paper or Ask Questions

Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning

Aug 06, 2020
Bryn Elesedy, Varun Kanade, Yee Whye Teh

* 16 pages, 1 figure. Corrections to previous version 

  Access Paper or Ask Questions

On the robustness of effectiveness estimation of nonpharmaceutical interventions against COVID-19 transmission

Jul 27, 2020
Mrinank Sharma, Sören Mindermann, Jan Markus Brauner, Gavin Leech, Anna B. Stephenson, Tomáš Gavenčiak, Jan Kulveit, Yee Whye Teh, Leonid Chindelevitch, Yarin Gal


  Access Paper or Ask Questions

Bayesian Deep Ensembles via the Neural Tangent Kernel

Jul 11, 2020
Bobby He, Balaji Lakshminarayanan, Yee Whye Teh


  Access Paper or Ask Questions

Neural Ensemble Search for Performant and Calibrated Predictions

Jun 15, 2020
Sheheryar Zaidi, Arber Zela, Thomas Elsken, Chris Holmes, Frank Hutter, Yee Whye Teh


  Access Paper or Ask Questions

Non-exchangeable feature allocation models with sublinear growth of the feature sizes

Mar 30, 2020
Giuseppe Di Benedetto, François Caron, Yee Whye Teh

* Accepted to AISTATS 2020 

  Access Paper or Ask Questions

Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network

Mar 04, 2020
Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal


  Access Paper or Ask Questions

Pruning untrained neural networks: Principles and Analysis

Feb 19, 2020
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh

* 50 pages, 12 figures 

  Access Paper or Ask Questions

Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise

Feb 13, 2020
Umut Şimşekli, Lingjiong Zhu, Yee Whye Teh, Mert Gürbüzbalaban

* 26 pages 

  Access Paper or Ask Questions

MetaFun: Meta-Learning with Iterative Functional Updates

Dec 05, 2019
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh


  Access Paper or Ask Questions

Amortized Rejection Sampling in Universal Probabilistic Programming

Nov 30, 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


  Access Paper or Ask Questions

A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments

Nov 01, 2019
Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth


  Access Paper or Ask Questions

Continual Unsupervised Representation Learning

Oct 31, 2019
Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

* NeurIPS 2019 

  Access Paper or Ask Questions

Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support

Oct 29, 2019
Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth


  Access Paper or Ask Questions

Deep Amortized Clustering

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


  Access Paper or Ask Questions

Stacked Capsule Autoencoders

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

* 13 pages, 6 figures, 4 tables 

  Access Paper or Ask Questions

Random Tessellation Forests

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

* 10 pages, 4 figures 

  Access Paper or Ask Questions

Task Agnostic Continual Learning via Meta Learning

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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

* ICML Workshop on AI for Social Good, 2018 
* 6 pages, 3 figures, Accepted at the International Conference on Machine Learning AI for Social Good Workshop, Long Beach, United States, 2019 

  Access Paper or Ask Questions

Meta reinforcement learning as task inference

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


  Access Paper or Ask Questions

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

* DeepMind Technical Report (15 pages, 6 figures) 

  Access Paper or Ask Questions

Information asymmetry in KL-regularized RL

May 03, 2019
Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess

* Accepted as a conference paper at ICLR 2019 

  Access Paper or Ask Questions

Augmented Neural ODEs

Apr 02, 2019
Emilien Dupont, Arnaud Doucet, Yee Whye Teh


  Access Paper or Ask Questions