Jake Robertson

I'm a PhD student fascinated about the legal, ethical, and technical intersections of AI and society. Currently working on algorithmic fairness, Causal ML, Prior-Fitted Networks (PFNS), and soon to be LLMs. Check out my work below!

Recent News

- Presented ManyFairHPO at the AI Ethics and Society Conference in San Jose (Oct 21, 2024)

- Attended the AutoML Symposium in the Black Forest (Oct 9, 2024)

- Presented FairPFN at ICML Next Generation AI Safety Workshop in Vienna (Jul 26, 2024)

- Defended my Master's Thesis "FairPFN: Transformers Can do Counterfactual Fairness" (Aug 12, 2024)

- Attended the AutoML Supergroup Symposium in Bad Nauheim (Mar 12, 2024)

- Attended the AI For Social Good Seminar at Schloss Dagstuhl (Feb 18, 2024)

Featured Work

Fairness-Aware AutoML

AIES'24 Conference

Aug 2024, San Jose, USA

"A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes"

Blog post
Prior Fitted Networks and Causal Fairness

ICML'24 Workshop

Jul 2024, Vienna, Austria

"FairPFN: Transformers Can do Counterfactual Fairness"

arXiv

Publications

Jake Robertson, Thorsten Schmidt, Frank Hutter, and Noor Awad. 2024. A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. In Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society (AIES’24), October 21-23, 2024, San Jose, USA. 11 pages

Jake Robertson, Noah Hollmann, Noor Awad, and Frank Hutter. 2024. FairPFN: Transformers Can do Counterfactual Fairness. In Proceedings of the ICML Next Generation AI Safety Workshop 2024 (NextGenAISafety’24), July 26, 2024, Vienna, Austria. 2 pages

Jake Robertson, Catherine Stinson, and Ting Hu. 2022. A Bio-Inspired Framework for Machine Bias Interpretation. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES’22), August 1–3, 2022, Oxford, United Kingdom. 11 pages

Jake Robertson and Ting Hu. 2021. An Evolutionary Approach to Interpretable Learning. In Proceedings of the Genetic and Evolutionary Computation Conference 2021 (GECCO’21), July 10-14, 2021, Lille, France. 2 pages

Google Scholar

About Me

I finished my Bachelor's of Computing at Queen's University in 2021 and am currently working on my Master's in Computer Science (Artificial Intelligence) at the University of Freiburg, where I work as a research assistant (HiWi) in the Freiburg Machine Learning Lab. The final year of my Master's degree is fully funded by the Konrad Zuse School of Excellence in Learning and Intelligent systems (ELIZA). I'm going to be continuing my PhD at the ELLIS Institute Tübingen under the supervision of Professor Frank Hutter.

Contact Info

  1. University of Freiburg
  2. Faculty of Engineering
  3. Baden-Württemberg, Germany
  4. Email | GitHub | LinkedIn