7 citations · 9 across the 5 of their papers we have counts for
5 papers · 1 filter
Uncovering expert objectives in production planning via inverse optimization: An industrial case study
Shivi Dixit, Rishabh Gupta, Adam Kelloway +2
Production planning in the manufacturing industry often relies on the use of optimization models, but defining an appropriate objective function can be a challenge. In practice, pl…
An inverse mixed-integer optimization framework for learning interpretable models of expert decision making
Anurag Holani, Rishabh Gupta, John Wassick +1
Understanding how experts make decisions and being able to transfer that knowledge is important, especially in complex engineering applications. It is highly valuable for training…
Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization
Shivi Dixit, Rishabh Gupta, Qi Zhang
Mixed-integer optimization is at the core of many online decision-making systems that demand frequent updates of decisions in real time. However, due to their combinatorial nature,…
Data-driven decision-focused surrogate modeling
Rishabh Gupta, Qi Zhang
We introduce the concept of decision-focused surrogate modeling for solving computationally challenging nonlinear optimization problems in real-time settings. The proposed data-dri…
Efficient Learning of Decision-Making Models: A Penalty Block Coordinate Descent Algorithm for Data-Driven Inverse Optimization
Rishabh Gupta, Qi Zhang
Decision-making problems are commonly formulated as optimization problems, which are then solved to make optimal decisions. In this work, we consider the inverse problem where we u…