Irene Aldridge
5 papers · Latest:
Scaling the Queue: Reinforcement Learning for Equitable Call Classification Capacity in NYC Municipal Complaint Systems
This paper introduces an equity-centered reinforcement learning framework to optimize complaint classification and routing in NYC's 311 system, addressing service disparities.
Fast Monte-Carlo
This paper introduces an eigenvalue-based Monte Carlo approximation that significantly reduces sample paths while maintaining accuracy and robustness.
Fast Core Identification
A new algorithm identifies core allocations in matching markets in optimal $\bigO{n}$ time, outperforming full TTC computation.
Agentic Artificial Intelligence in Finance: A Comprehensive Survey
This survey explores agentic AI in finance, detailing its architecture, applications, and implications for market efficiency and systemic risk.
On-chain Peak Shaving
This paper studies "on-chain peak shaving," scheduling Ethereum transactions to off-peak hours to reduce gas fees, finding varied firm strategies and cost savings.
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