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Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

Jun 04, 2021
Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Tom Rainforth, Yarin Gal

* First two authors contributed equally 

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Provable Guarantees on the Robustness of Decision Rules to Causal Interventions

May 19, 2021
Benjie Wang, Clare Lyle, Marta Kwiatkowska

* 21 pages (8+13 Appendix). To be published in IJCAI 2021 

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Robustness to Pruning Predicts Generalization in Deep Neural Networks

Mar 10, 2021
Lorenz Kuhn, Clare Lyle, Aidan N. Gomez, Jonas Rothfuss, Yarin Gal

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On The Effect of Auxiliary Tasks on Representation Dynamics

Feb 25, 2021
Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney

* AISTATS 2021 

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PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning

Feb 24, 2021
Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar

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A Bayesian Perspective on Training Speed and Model Selection

Oct 27, 2020
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk

* To be presented at NeurIPS 2020 

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Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search

Jun 08, 2020
Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal

* 14 pages, 10 figures 

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On the Benefits of Invariance in Neural Networks

May 01, 2020
Clare Lyle, Mark van der Wilk, Marta Kwiatkowska, Yarin Gal, Benjamin Bloem-Reddy

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Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning

Apr 09, 2020
Andreas Kirsch, Clare Lyle, Yarin Gal

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Invariant Causal Prediction for Block MDPs

Mar 12, 2020
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup

* 16 pages, 8 figures 

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A Comparative Analysis of Expected and Distributional Reinforcement Learning

Feb 21, 2019
Clare Lyle, Pablo Samuel Castro, Marc G. Bellemare

* To appear in the Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence 

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A Geometric Perspective on Optimal Representations for Reinforcement Learning

Jan 31, 2019
Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taiga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle

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GAN Q-learning

Jul 20, 2018
Thang Doan, Bogdan Mazoure, Clare Lyle

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The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Feb 20, 2018
Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei

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