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Angelos Filos

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning


Jun 07, 2021
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran

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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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Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?


Jun 26, 2020
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal

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* Camera-ready version, International Conference of Machine Learning 2020 
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Uncertainty Evaluation Metric for Brain Tumour Segmentation


May 28, 2020
Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel

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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

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* 16 pages, 8 figures 
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A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks


Dec 22, 2019
Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal

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Reinforcement Learning for Portfolio Management


Sep 12, 2019
Angelos Filos

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* Imperial College London MEng Thesis 2018 
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Generalizing from a few environments in safety-critical reinforcement learning


Jul 02, 2019
Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal

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Towards Inverse Reinforcement Learning for Limit Order Book Dynamics


Jun 11, 2019
Jacobo Roa-Vicens, Cyrine Chtourou, Angelos Filos, Francisco Rullan, Yarin Gal, Ricardo Silva

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* Published as a workshop paper on AI in Finance: Applications and Infrastructure for Multi-Agent Learning at the 36th International Conference on Machine Learning (ICML), Long Beach, California, PMLR97, 2019. Copyright 2019 by the author(s) 
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