Jake Fawkes

6 papers · 2022–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer ❓ The Questioner 🚀 Conference Pioneer

Conferences

AISTATS (2) ICML (2) CLEAR (1) NIPS (1)

Top co-authors

Dino Sejdinovic (2) Robin Evans (1) Christopher C. Holmes (1) Shahine Bouabid (1) Desi R. Ivanova (1) Amartya Sanyal (1) Athanasios Vlontzos (1) Michael O’Riordan (1) Oriol Corcoll (1) Nic Fishman (1)

Keywords

causal inference (1) algorithmic fairness (1) probabilistic graphical model (1) inductive bia (1) fairness metric (1) selection bia (1) causal model (1) counterfactual fairness (1) causal fairness (1) kernel methods (1) causal sensitivity analysis (1) measurement bia (1)

Papers

Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition AISTATS 2025

The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025

The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NIPS 2024

The Role of Learning Algorithms in Collective Action ICML 2024

Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023

Selection, Ignorability and Challenges With Causal Fairness CLEAR 2022