no code implementations • 24 May 2024 • Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li
Predicting simple function classes has been widely used as a testbed for developing theory and understanding of the trained Transformer's in-context learning (ICL) ability.
1 code implementation • 19 Mar 2024 • Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li
We consider the trade-off between model distortion and detection ability and formulate it as a constrained optimization problem based on the green-red algorithm of Kirchenbauer et al. (2023a).
no code implementations • 10 Aug 2023 • Hanzhao Wang, Zhongze Cai, Xiaocheng Li, Kalyan Talluri
Discrete-choice models are used in economics, marketing and revenue management to predict customer purchase probabilities, say as a function of prices and other features of the offered assortment.
no code implementations • 19 Aug 2022 • Zhongze Cai, Hanzhao Wang, Kalyan Talluri, Xiaocheng Li
Choice modeling has been a central topic in the study of individual preference or utility across many fields including economics, marketing, operations research, and psychology.