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Adam Foster

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Prediction-Oriented Bayesian Active Learning

Apr 17, 2023
Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth

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Modern Bayesian Experimental Design

Feb 28, 2023
Tom Rainforth, Adam Foster, Desi R Ivanova, Freddie Bickford Smith

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CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design

Feb 27, 2023
Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster

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Differentiable Multi-Target Causal Bayesian Experimental Design

Feb 21, 2023
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer

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Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation

Jul 12, 2022
Desi R. Ivanova, Joel Jennings, Cheng Zhang, Adam Foster

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Learning Instance-Specific Data Augmentations

May 31, 2022
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim

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Deep End-to-end Causal Inference

Feb 04, 2022
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

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Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

Nov 03, 2021
Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Tom Rainforth

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On Contrastive Representations of Stochastic Processes

Jun 18, 2021
Emile Mathieu, Adam Foster, Yee Whye Teh

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Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness

Jun 15, 2021
Adam Foster, Árpi Vezér, Craig A Glastonbury, Páidí Creed, Sam Abujudeh, Aaron Sim

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