Sarah Liaw

According to our database, Sarah Liaw authored at least 8 papers between 2025 and 2026.

Collaborative distances:

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

2026

Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning.

Emile Anand, Richard Hoffmann, Sarah Liaw, Adam Wierman

CoRR, February, 2026

FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale.

Isabelle Lee, Sarah Liaw, Dani Yogatama

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards.

Sarah Liaw, Benjamin Plaut

CoRR, October, 2025

FOL-Pretrain: A complexity annotated corpus of first-order logic.

Isabelle Lee, Sarah Liaw, Dani Yogatama

CoRR, May, 2025

Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach.

Sarah Liaw, Rebecca E. Morrison, Youssef Marzouk, Ricardo Baptista

CoRR, March, 2025

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown.

Emile Anand, Sarah Liaw

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning Local Neighborhoods of Non-Gaussian Graphical Models.

Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract).

Sarah Liaw

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025