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Estimating treatment effects using observational data and experimental data with non-overlapping support

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When estimating treatment effects, the gold standard is to conduct a randomized experiment and then contrast outcomes associated with the treatment group and the control group. However, in many cases, randomized experiments are either conducted with a much smaller scale compared to the size of...

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A computational framework for solving nonlinear binary optimization problems in robust causal inference

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An algorithmic approach to linear regression

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Production and transportation integration for commit-to-delivery mode with general shipping costs

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Solving Euclidean Max-Sum problems exactly with cutting planes

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Approximation algorithms for hard capacitated k-facility location problems

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Integer optimization with penalized fractional values : the Knapsack case

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