Jake Robertson

11 papers A* 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Use What You Know: Causal Foundation Models with Partial Graphs.
CoRR
Arik Reuter, Anish Dhir, Cristiana Diaconu, Jake Robertson, Ole Ossen, Frank Hutter, Adrian Weller, Mark van der Wilk, Bernhard Schölkopf
2025 J jnl
Do-PFN: In-Context Learning for Causal Effect Estimation.
CoRR
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf
2025 J jnl
Does TabPFN Understand Causal Structures?
CoRR
Omar Swelam, Lennart Purucker, Jake Robertson, Hanne Raum, Joschka Boedecker, Frank Hutter
2025 A* conf
FairPFN: A Tabular Foundation Model for Causal Fairness.
ICML
Jake Robertson, Noah Hollmann, Samuel Müller, Noor H. Awad, Frank Hutter
2025 J jnl
FairPFN: A Tabular Foundation Model for Causal Fairness.
CoRR
Jake Robertson, Noah Hollmann, Samuel Müller, Noor H. Awad, Frank Hutter
2025 J jnl
TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models.
CoRR
Léo Grinsztajn, Klemens Flöge, Oscar Key, Felix Birkel, Philipp Jund, Brendan Roof, Benjamin Jäger, Dominik Safaric, Simone Alessi, Adrian Hayler, Mihir Manium, Rosen Yu, Felix Jablonski, Shi Bin Hoo, Anurag Garg, Jake Robertson, Magnus Bühler, Vladyslav Moroshan, Lennart Purucker, Clara Cornu, Lilly Charlotte Wehrhahn, Alessandro Bonetto, Bernhard Schölkopf, Sauraj Gambhir, Noah Hollmann, Frank Hutter
2024 — conf
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes.
AIES (1)
Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad
2024 J jnl
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes.
CoRR
Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad
2024 J jnl
FairPFN: Transformers Can do Counterfactual Fairness.
CoRR
Jake Robertson, Noah Hollmann, Noor H. Awad, Frank Hutter
2022 C conf
A Bio-Inspired Framework for Machine Bias Interpretation.
AIES
Jake Robertson, Catherine Stinson, Ting Hu
2021 — conf
An evolutionary approach to interpretable learning.
GECCO Companion
Jake Robertson, Ting Hu