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stat.ME2021
Leveraging Causal Graphs for Blocking in Randomized Experiments
Abhishek Kumar Umrawal
Randomized experiments are often performed to study the causal effects of interest. Blocking is a technique to precisely estimate the causal effects when the experimental material…
econ.EM2021
On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints
Abhishek K. Umrawal, Joshua C. C. Chan
We propose a new \textit{quadratic programming-based} method of approximating a nonstandard density using a multivariate Gaussian density. Such nonstandard densities usually arise…
cs.LG2021★ 3 cited
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight Delivery
Jiayu Chen, Abhishek K. Umrawal, Tian Lan +1
With the freight delivery demands and shipping costs increasing rapidly, intelligent control of fleets to enable efficient and cost-conscious solutions becomes an important problem…