Recent advancements in large language models (LLMs) have transformed the...
We consider the estimation of average treatment effects in observational...
Researchers are increasingly turning to machine learning (ML) algorithms...
There is much interest in deep learning to solve challenges that arise i...
We introduce a stochastic version of the cutting-plane method for a larg...
The COVID-19 pandemic has created unprecedented challenges worldwide.
St...
Graph neural networks (GNNs) are a powerful tool to learn representation...
We consider the problem of matrix completion of rank k on an n× m
matrix...
In recent years, the increasing availability of individual-level data an...
Optimizing storage assignment is a central problem in warehousing. Past
...
We derive explicit Mixed Integer Optimization (MIO) constraints, as oppo...
We consider the problem of matrix completion with side information on an...