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June 2026. I am attending FORC at Harvard to give a talk on our paper How Global Calibration Strengthens Multiaccuracy.

April 2026. I will be attending ICLR in Rio de Janeiro to present our work on the sample complexity of allocation.

February 2026. My master's thesis at Oxford, titled On Learning, Fairness, and Complexity, is now available here.

January 2026. Our paper Good Allocations form Bad Estimates has been accepted to ICLR 2026! I presented a poster on this work at Simon's Bridging Prediction and Intervention Problems in Social Systems workshop and at Stanford's Causal Science Center Conference.

December 2025. I will be attending NeurIPS in San Diego to present our work on learning with abstentions and FOCS in Sydney to present our work on multiaccuracy and calibration.

November 2025. Giving a talk at the EconCS seminar at CMU on our paper How Global Calibration Strengthens Multiaccuracy.

October 2025. Gave a talk at the Stanford Theory Lunch on our paper How Global Calibration Strengthens Multiaccuracy.

September 2025. Our paper Selective Omniprediction & Fair Abstention was accepted as a spotlight at NeurIPS 2025!

September 2025. I have started my PhD at Stanford!

Sílvia Casacuberta Puig
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