Towards Inverse Reinforcement Learning for Limit Order Book Dynamics. - Jacobo Roa-Vicens; Cyrine Chtourou; Angelos Filos; Francisco Rullan; Yarin Gal; Ricardo Silva 001 (CoRR, 2019)

Generalizing from a few environments in safety-critical reinforcement learning. - Zachary Kenton; Angelos Filos; Owain Evans; Yarin Gal (CoRR, 2019)

Reinforcement Learning for Portfolio Management. - Angelos Filos (CoRR, 2019)

A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. - Angelos Filos; Sebastian Farquhar; Aidan N. Gomez; Tim G. J. Rudner; Zachary Kenton; Lewis Smith; Milad Alizadeh; Arnoud de Kroon; Yarin Gal (CoRR, 2019)

Invariant Causal Prediction for Block MDPs. - Amy Zhang 001; Clare Lyle; Shagun Sodhani; Angelos Filos; Marta Kwiatkowska; Joelle Pineau; Yarin Gal; Doina Precup (ICML, 2020)

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? - Angelos Filos; Panagiotis Tigas; Rowan McAllister; Nicholas Rhinehart; Sergey Levine; Yarin Gal (ICML, 2020)

Uncertainty Evaluation Metric for Brain Tumour Segmentation. - Raghav Mehta; Angelos Filos; Yarin Gal; Tal Arbel (CoRR, 2020)

PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. - Angelos Filos; Clare Lyle; Yarin Gal; Sergey Levine; Natasha Jaques; Gregory Farquhar (ICML, 2021)

Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks. - Neil Band; Tim G. J. Rudner; Qixuan Feng; Angelos Filos; Zachary Nado; Mike Dusenberry; Ghassen Jerfel; Dustin Tran; Yarin Gal (NeurIPS Datasets and Benchmarks, 2021)

Self-Consistent Models and Values. - Gregory Farquhar; Kate Baumli; Zita Marinho; Angelos Filos; Matteo Hessel; Hado Philip van Hasselt; David Silver (NeurIPS, 2021)

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. - Zachary Nado; Neil Band; Mark Collier; Josip Djolonga; Michael W. Dusenberry; Sebastian Farquhar; Angelos Filos; Marton Havasi; Rodolphe Jenatton; Ghassen Jerfel; Jeremiah Z. Liu; Zelda Mariet; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Model-Value Inconsistency as a Signal for Epistemic Uncertainty. - Angelos Filos; Eszter Vértes; Zita Marinho; Gregory Farquhar; Diana Borsa; Abram L. Friesen; Feryal M. P. Behbahani; Tom Schaul; André Barreto 001; Simon Osindero (ICML, 2022)

Composing Task Knowledge With Modular Successor Feature Approximators. - Wilka Carvalho; Angelos Filos; Richard L. Lewis; Honglak Lee; Satinder Singh 001 (ICLR, 2023)

In-context Reinforcement Learning with Algorithm Distillation. - Michael Laskin; Luyu Wang; Junhyuk Oh; Emilio Parisotto; Stephen Spencer; Richie Steigerwald; DJ Strouse; Steven Stenberg Hansen; Angelos Filos; Ethan Brooks; Maxime Gazeau; Himanshu Sahni; et al. (ICLR, 2023)

Combining Behaviors with the Successor Features Keyboard. - Wilka Carvalho; Andre Saraiva 001; Angelos Filos; Andrew K. Lampinen; Loic Matthey; Richard L. Lewis; Honglak Lee; Satinder Singh 001; Danilo Jimenez Rezende; Daniel Zoran (NeurIPS, 2023)

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. - Andrew Jesson; Chris Lu 001; Gunshi Gupta; Angelos Filos; Jakob Nicolaus Foerster; Yarin Gal (CoRR, 2023)

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. - Andrew Jesson; Chris Lu 001; Gunshi Gupta; Nicolas Beltran-Velez; Angelos Filos; Jakob Nicolaus Foerster; Yarin Gal (ICML, 2024)