Cover Image for Learning what to ask and when to stop: Cost-aware sequential founder evaluation
Cover Image for Learning what to ask and when to stop: Cost-aware sequential founder evaluation

Learning what to ask and when to stop: Cost-aware sequential founder evaluation

Hosted by Yuxi LI, DeAI Institute & Toronto DAO
Zoom
Registration
Past Event
Welcome! To join the event, please register below.
About Event

Title: Learning what to ask and when to stop: Cost-aware sequential founder evaluation

Abstract (shortened): Venture capital (VC) investment decisions are inherently sequential and cost-sensitive: investors progressively gather information about founders while balancing predictive confidence against the costs of due diligence. However, most existing approaches treat founder evaluation as a static prediction problem. We propose a dynamic, cost-aware decision framework that models founder evaluation as an adaptive information acquisition process

Rick Chen: Incoming Oxford Phd, AI. 

Yuhang Ye: Oxford Phd, RL. 

Yigit Ihlamur: Co-founder, GP of Vela Partners, the world's first quant vc.

Group bio: As a joint research group with the University of Oxford and Vela Partners, we jointly published many peer-reviewed papers and pre-print arXiv papers in places such as NeurIPS and IEEE. We're building LLM-native ML frameworks and publish our methods as open-source at thinkreasonlearn.com