3 citations · 4 across the 14 of their papers we have counts for
5 papers · 1 filter
Optimal Stop-Loss and Take-Profit Parameterization for Autonomous Trading Agent Swarm
Nathan Li, Aikins Laryea, Yigit Ihlamur
Autonomous crypto trading systems often spend most of their design effort on finding entries, while exits are left to fixed rules that are rarely tested in a systematic way. This p…
Beyond Picking Winners: Correlation-Driven Tail Risk in Venture Capital Portfolio Construction
Yunqi Liang, Hasan Ugur Koyluoglu, Fuat Alican +1
We propose a Gaussian-copula-based framework that learns deal-level dependence directly from observed joint success frequencies across founder, geography, and market attributes. Ho…
CoFEE: Reasoning Control for LLM-Based Feature Discovery
Maximilian Westermann, Ben Griffin, Aaron Ontoyin Yin +6
Feature discovery from complex unstructured data is fundamentally a reasoning problem: it requires identifying abstractions that are predictive of a target outcome while avoiding l…
From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code
Anirudh Jaidev Mahesh, Ben Griffin, Fuat Alican +8
Large language models (LLMs) are increasingly used for high-stakes decision-making, yet existing approaches struggle to reconcile scalability, interpretability, and reproducibility…
Probabilistic Modeling of Venture Capital Portfolio Outliers
Kensei Sakamoto, Hasan Ugur Koyluoglu, Fuat Alican +1
In this paper, we define probabilistic measures for venture portfolio performance based on individual outlier probability for each investment and the dependence across investments.…