Seamus Somerstep

13 papers A* 2A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Latent Variable Framework for Scaling Laws in Large Language Models. CoRR Peiyao Cai, Chengyu Cui, Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun, Kean Ming Tan, Gongjun Xu
2025	A*	`conf`	A transfer learning framework for weak to strong generalization. ICLR Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2025	J	`jnl`	CARROT: A Cost Aware Rate Optimal Router. CoRR Seamus Somerstep, Felipe Maia Polo, Allysson Flavio Melo de Oliveira, Prattyush Mangal, Mírian Silva, Onkar Bhardwaj, Mikhail Yurochkin, Subha Maity
2025	J	`jnl`	Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation. CoRR Seamus Somerstep, Vinod Raman, Unique Subedi, Yuekai Sun
2025	J	`jnl`	Limitations of refinement methods for weak to strong generalization. CoRR Seamus Somerstep, Yaacov Ritov, Mikhail Yurochkin, Subha Maity, Yuekai Sun
2025	A	`conf`	Microfoundation inference for strategic prediction. AISTATS Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2024	J	`jnl`	A statistical framework for weak-to-strong generalization. CoRR Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2024	—	`conf`	Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. FAccT Seamus Somerstep, Yaacov Ritov, Yuekai Sun
2024	J	`jnl`	Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. CoRR Seamus Somerstep, Yaacov Ritov, Yuekai Sun
2024	J	`jnl`	Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets. CoRR Seamus Somerstep, Yuekai Sun, Yaacov Ritov
2024	A*	`conf`	Learning in reverse causal strategic environments with ramifications on two sided markets. ICLR Seamus Somerstep, Yuekai Sun, Yaacov Ritov
2024	J	`jnl`	Microfoundation Inference for Strategic Prediction. CoRR Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2024	J	`jnl`	Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families. CoRR Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Yuekai Sun, Mikhail Yurochkin