3 citations · 3 across the 6 of their papers we have counts for
6 papers
Poisson-MNL Bandit: Nearly Optimal Dynamic Joint Assortment and Pricing with Decision-Dependent Customer Arrivals
Junhui Cai, Ran Chen, Qitao Huang +2
We study dynamic joint assortment and pricing where a seller updates decisions at regular accounting/operating intervals to maximize the cumulative per-period revenue over a horizo…
AI as "Co-founder": GenAI for Entrepreneurship
Junhui Jeff Cai, Xian Gu, Liugang Sheng +3
This paper studies whether, how, and for whom generative artificial intelligence (GenAI) facilitates firm creation. Our identification strategy exploits the November 2022 release o…
Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
Junhui Cai, Ran Chen, Martin J. Wainwright +1
Key challenges in running a retail business include how to select products to present to consumers (the assortment problem), and how to price products (the pricing problem) to maxi…
Network regression and supervised centrality estimation
Junhui Cai, Dan Yang, Ran Chen +3
The centrality in a network is often used to measure nodes' importance and model network effects on a certain outcome. Empirical studies widely adopt a two-stage procedure, which f…
Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals
Junhui Cai, Xu Han, Ya'acov Ritov +1
Large-scale modern data often involves estimation and testing for high-dimensional unknown parameters. It is desirable to identify the sparse signals, ``the needles in the haystack…
All of Linear Regression
Arun K. Kuchibhotla, Lawrence D. Brown, Andreas Buja +1
Least squares linear regression is one of the oldest and widely used data analysis tools. Although the theoretical analysis of the ordinary least squares (OLS) estimator is as old,…