Causal inference

Publication

Pragmatic Fairness: Developing Policies with Outcome Disparity Control

Silvia Chiappa, Alan Malek, Ricardo Silva *, Siyuan Guo *

arXiv

Download

Publication

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

Jessica Schrouff *, Natalie Harris *, Oluwasanmi Koyejo *, Ibrahim Alabdulmohsin *, Eva Schnider *, Krista Opsahl-Ong *, Alex Brown *, Subhrajit Roy *, Diana Mincu *, Christina Chen *, Awa Dieng *, Yuan Liu *, Vivek Natarajan *, Alan Karthikesalingam *, Katherine Heller *, Silvia Chiappa, Alexander D'Amour *

NeurIPS

Download

Publication

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

Tom Everitt, Silvia Chiappa

AAAI

Download

Publication

Asymptotically Best Casual Effect Identification with Multi-Armed Bandits

Alan Malek, Silvia Chiappa

NeurIPS

Download

Publication

Shaking the foundations: delusions in sequence models for interaction and control

Pedro Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau, Joel Veness, Jonas Buchli, Tom Everitt, Jonas Degrave, Bilal Piot, Emilio Parisotto, Corentin Tallec, Julien Perolat, Scott Reed, Yutian Chen, Nando de Freitas, Marcus Hutter, Shane Legg

arXiv

Download

Publication

Relating Graph Neural Networks to Structural Causal Models

Matej Zečević *, Devendra Singh Dhami *, Petar Veličković, Kristian Kersting *

arXiv

Download

Publication

PyCID: A Python Library for Causal Influence Diagrams

James Fox *, Ryan Carey *, Eric Langlois *, Tom Everitt

SciPy

Download

Publication

Balance Regularized Neural Network Models for Causal Effect Estimation

Mehrdad Farajtabar, Andrew Lee, Vishal Gupta, Peter Dolan, Martin Szummer

NeurIPS Workshop

Download

Publication

Learning Deep Features in Instrumental Variable Regression

Liyuan Xu *, Yutian Chen, S Srinivasan *, Nando de Freitas, Arnaud Doucet, Arthur Gretton *

arXiv

Download

Publication

Amortized learning of neural causal representations

N R Ke *, Jane Wang, Jovana Mitrovic, Martin Szummer, Danilo Rezende

arXiv

Download

Publication

Should I tear down this wall? Optimizing social metrics by evaluating novel actions

János Kramár, Neil Rabinowitz, Tom Eccles, Andrea Tacchetti

arXiv

Download

Publication

Causally Correct Partial Models for Reinforcement Learning

Danilo Rezende, Ivo Danihelka, George Papamakarios, N R Ke *, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing

arXiv

Download

Publication

The Incentives that Shape Behaviour

Ryan Carey *, Eric Langlois, Tom Everitt, Shane Legg

arXiv

Download

Publication

Value-driven Hindsight Modelling

Arthur Guez, Fabio Viola, Theophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess

arXiv

Download

Publication

Autonomous exploration for navigating in non-stationary CMPs

Pratik Gajane *, R Ortner *, Peter Auer *, Csaba Szepesvári

arXiv

Download

Publication

Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

Tom Everitt, Marcus Hutter

arXiv

Download

Publication

A Causal Bayesian Networks Viewpoint on Fairness

Silvia Chiappa, William Isaac

arXiv

Download

Publication

Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings

Tom Everitt, Pedro Ortega, Elizabeth Barnes *, Shane Legg

arXiv

Download

Publication

Causal Reasoning from Meta-reinforcement Learning

Ishita Dasgupta *, Jane Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter Battaglia, Matt Botvinick, Zeb Kurth-Nelson

arXiv

Download

Publication

Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search

Lars Buesing, Theophane Weber, Yori Zwols, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau, Nicolas Heess

arXiv

Download

Publication

Path-Specific Counterfactual Fairness

Silvia Chiappa, Thomas Gillam

arXiv

Download

Publication

Learning and Querying Fast Generative Models for Reinforcement Learning

Lars Buesing, Theophane Weber, Sébastien Racanière, S M Ali Eslami, Danilo Jimenez Rezende, David Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra

arXiv

Download

Publications

Causal inference