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Jesse Cresswell

2 accepted papers

2026

Agentic Monte Carlo: Reinforcement Learning for Black-Box LLM Agents

ICML 2026poster

LLM agents operate in two distinct regimes: open-weight agents amenable to reinforcement learning (RL) and black-box agents whose behaviour must be controlled purely at test time. Although black-box agents are often backed by state-of-the-art proprietary LLMs, API-only access precludes parameter-lev…

Cited by 0SourceScholar
2026

Beyond Procedure: Substantive Fairness in Conformal Prediction

ICML 2026poster

Conformal prediction (CP) offers distribution-free uncertainty quantification for machine learning models, yet its interplay with fairness in downstream decision-making remains underexplored. Moving beyond CP as a standalone operation (procedural fairness), we analyze the holistic decision-making pi…

Cited by 0SourceScholar