Seamus Somerstep

According to our database, Seamus Somerstep authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation.

Seamus Somerstep, Vinod Raman, Unique Subedi, Yuekai Sun

CoRR, May, 2025

CARROT: A Cost Aware Rate Optimal Router.

Seamus Somerstep, Felipe Maia Polo, Allysson Flavio Melo de Oliveira, Prattyush Mangal, Mírian Silva, Onkar Bhardwaj, Mikhail Yurochkin, Subha Maity

CoRR, February, 2025

A transfer learning framework for weak to strong generalization.

Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Microfoundation inference for strategic prediction.

Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families.

Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Yuekai Sun, Mikhail Yurochkin

CoRR, 2024

A statistical framework for weak-to-strong generalization.

Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun

CoRR, 2024

Learning in reverse causal strategic environments with ramifications on two sided markets.

Seamus Somerstep, Yuekai Sun, Yaacov Ritov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness.

Seamus Somerstep, Yaacov Ritov, Yuekai Sun

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024