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ORCIDJake Robertson
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2020 – today
- 2026
[i8]Arik Reuter, Anish Dhir, Cristiana Diaconu, Jake Robertson, Ole Ossen, Frank Hutter, Adrian Weller, Mark van der Wilk, Bernhard Schölkopf:
Use What You Know: Causal Foundation Models with Partial Graphs. CoRR abs/2602.14972 (2026)- [i7]Léo Grinsztajn, Klemens Flöge, Oscar Key, Felix Birkel, Philipp Jund, Brendan Roof, Mihir Manium, Shi Bin Hoo, Magnus Bühler, Anurag Garg, Dominik Safaric, Jake Robertson, Benjamin Jäger, Simone Alessi, Adrian Hayler, Vladyslav Moroshan, Lennart Purucker, Philipp Singer, Alan Arazi, Julien Siems, Jan Hendrik Metzen, Georg Grab, Nick Erickson, Siyuan Guo, Eliott Kalfon, Simon Bing, David Salinas, Clara Cornu, Lilly Charlotte Wehrhahn, Diana Kriuchkova, Kursat Kaya, Lydia Sidhoum, Marie Salmon, Jerry Chen, Madelon Hulsebos, Yann LeCun, Samuel Müller, Bernhard Schölkopf, Sauraj Gambhir, Noah Hollmann, Frank Hutter:
TabPFN-3: Technical Report. CoRR abs/2605.13986 (2026) - 2025
- [c5]Jake Robertson, Noah Hollmann, Samuel Müller, Noor H. Awad, Frank Hutter:
FairPFN: A Tabular Foundation Model for Causal Fairness. ICML 2025 - [c4]Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf:
Do-PFN: In-Context Learning for Causal Effect Estimation. NeurIPS 2025 - [i6]Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf:
Do-PFN: In-Context Learning for Causal Effect Estimation. CoRR abs/2506.06039 (2025) - [i5]Jake Robertson, Noah Hollmann, Samuel Müller, Noor H. Awad, Frank Hutter:
FairPFN: A Tabular Foundation Model for Causal Fairness. CoRR abs/2506.07049 (2025) - [i4]Omar Swelam, Lennart Purucker, Jake Robertson, Hanne Raum, Joschka Boedecker, Frank Hutter:
Does TabPFN Understand Causal Structures? CoRR abs/2511.07236 (2025) - [i3]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:
TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models. CoRR abs/2511.08667 (2025) - 2024
- [c3]Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad:
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. AIES (1) 2024: 1231-1242 - [i2]Jake Robertson, Noah Hollmann, Noor H. Awad, Frank Hutter:
FairPFN: Transformers Can do Counterfactual Fairness. CoRR abs/2407.05732 (2024) - [i1]Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad:
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. CoRR abs/2410.13286 (2024) - 2022
- [c2]Jake Robertson, Catherine Stinson, Ting Hu:
A Bio-Inspired Framework for Machine Bias Interpretation. AIES 2022: 588-598 - 2021
- [c1]Jake Robertson, Ting Hu:
An evolutionary approach to interpretable learning. GECCO Companion 2021: 167-168
Coauthor Index
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