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06/05/2023
Benchmarking Large Language Models on CMExam – A Comprehensive Chinese Medical Exam Dataset
Recent advancements in large language models (LLMs) have transformed the...
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10/15/2022
Distributionally Robust Causal Inference with Observational Data
We consider the estimation of average treatment effects in observational...
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03/28/2022
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
Researchers are increasingly turning to machine learning (ML) algorithms...
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10/29/2021
Holistic Deep Learning
There is much interest in deep learning to solve challenges that arise i...
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03/03/2021
Stochastic Cutting Planes for Data-Driven Optimization
We introduce a stochastic version of the cutting-plane method for a larg...
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06/30/2020
From predictions to prescriptions: A data-driven response to COVID-19
The COVID-19 pandemic has created unprecedented challenges worldwide. St...
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11/13/2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
Graph neural networks (GNNs) are a powerful tool to learn representation...
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10/21/2019
Fast Exact Matrix Completion: A Unifying Optimization Framework
We consider the problem of matrix completion of rank k on an n× m matrix...
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05/14/2019
Experimental Evaluation of Individualized Treatment Rules
In recent years, the increasing availability of individual-level data an...
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03/12/2019
Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty
Optimizing storage assignment is a central problem in warehousing. Past ...
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02/08/2019
Accounting for Significance and Multicollinearity in Building Linear Regression Models
We derive explicit Mixed Integer Optimization (MIO) constraints, as oppo...
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12/17/2018
