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econ.TH2025
Recursive contracts in non-convex environments
Chengfeng Shen, Felix Kübler, Zhennan Zhou
Many dynamic contracting problems in economics are non-convex, and deterministic optima can be dominated by randomized solutions. We develop a recursive method to compute optimal l…
cs.LG2025
InverseScope: Scalable Activation Inversion for Interpreting Large Language Models
Yifan Luo, Zhennan Zhou, Bin Dong
Understanding the internal representations of large language models (LLMs) is a central challenge in interpretability research. Existing feature interpretability methods often rely…
econ.TH2025
A Lagrangian Approach to Optimal Randomization
Chengfeng Shen, Felix Kübler, Yucheng Yang +1
We develop an efficient method for solving non-convex constrained optimization problems that are pervasive in economics. The optimal solution to these problems often involves rando…