From the 1 of 7 linked papers with an AI index.
7 papers
A Forecast Combination Framework for Hierarchical and Grouped Time Series Reconciliation
Xixi Li, Zijia Chen, James W. Taylor +1
Forecast combining and forecast reconciliation for hierarchical and grouped time series have largely developed as separate research areas. This paper connects the two by developing…
Statistical Properties of Robust Learning under Distributional Shifts
Zhiyi Li, Xiaojie Mao, Yunbei Xu +1
Distributional shifts arise when the target deployment environment differs from the source environment that generated the training data. Robust learning frameworks such as Distribu…
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation
Jialu Xu, Mengkun Liang, Guannan Liu +2
The paper introduces CURL, a method that uses uncertainty estimates to guide a frozen large language model in creating semantic representations for covariates, improving heterogene…
Contextual Linear Optimization with Partial Feedback
Yichun Hu, Nathan Kallus, Xiaojie Mao +1
Contextual linear optimization (CLO) uses predictive contextual features to reduce uncertainty in random cost coefficients in the objective and thereby improve decision-making perf…
Learning with Selectively Labeled Data from Multiple Decision-makers
Jian Chen, Zhehao Li, Xiaojie Mao
We study the problem of classification with selectively labeled data, whose distribution may differ from the full population due to historical decision-making. We exploit the fact…
Online Joint Assortment-Inventory Optimization under MNL Choices
Yong Liang, Xiaojie Mao, Shiyuan Wang
We study an online joint assortment-inventory optimization problem, in which we assume that the choice behavior of each customer follows the Multinomial Logit (MNL) choice model, a…