Fawkes, Jake

7 publications

AISTATS 2025 Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition Jake Fawkes, Lucile Ter-Minassian, Desi R. Ivanova, Uri Shalit, Christopher C. Holmes

AISTATS 2025 The Hardness of Validating Observational Studies with Experimental Data Jake Fawkes, Michael O’Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarán Mark Gilligan-Lee

TMLR 2024 Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic

NeurIPS 2024 The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton

ICML 2024 The Role of Learning Algorithms in Collective Action Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal

ICML 2023 Returning the Favour: When Regression Benefits from Probabilistic Causal Knowledge Shahine Bouabid, Jake Fawkes, Dino Sejdinovic

CLeaR 2022 Selection, Ignorability and Challenges with Causal Fairness Jake Fawkes, Robin Evans, Dino Sejdinovic