Machine Learning

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Answering counterfactual “what-if” questions in a trustworthy and efficient manner
April 2023 | Thanos Vlontzos, Ciarán Gilligan-Lee

Answering counterfactual “what-if” questions in a trustworthy and efficient manner
Estimating long-term effects when only short-run experiments are available
April 2023 | Ciarán Gilligan-Lee, Lucas Maystre

Estimating long-term effects when only short-run experiments are available
Gaining confidence in synthetic control causal inference with sensitivity analysis
April 2023 | Ciarán Gilligan-Lee, Thanos Vlontzos

Gaining confidence in synthetic control causal inference with sensitivity analysis
Users’ interests are multi-faceted: recommendation models should be too
February 2023 | Himan Abdollahpouri

Users’ interests are multi-faceted: recommendation models should be too
Survival Analysis Meets Reinforcement Learning
November 2022 | Lucas Maystre

Survival Analysis Meets Reinforcement Learning
Spotify’s Contributions to NeurIPS 2022
November 2022 | Spotify Research

Spotify’s Contributions to NeurIPS 2022
Can we correctly attribute changes among many possible causes when unobserved confounders are present?
November 2022 | Ciarán M. Gilligan-Lee, Mounia Lalmas and Olivier Jeunen

Can we correctly attribute changes among many possible causes when unobserved confounders are present?

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