22 citations · 22 across the 4 of their papers we have counts for
4 papers
A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
Víctor Blanco, Harshit Kothari, James Luedtke
In this paper, we propose a new mathematical optimization model for multiclass classification based on arrangements of hyperplanes. Our approach preserves the core support vector m…
On Integer Programming for the Binarized Neural Network Verification Problem
Woojin Kim, James R. Luedtke
Binarized neural networks (BNNs) are feedforward neural networks with binary weights and activation functions. In the context of using a BNN for classification, the verification pr…
Probing-Enhanced Stochastic Programming
Zhichao Ma, Youngdae Kim, Jeff Linderoth +2
We consider a two-stage stochastic decision problem where the decision-maker has the opportunity to obtain information about the distribution of the random variables that appea…
Data-Driven Sample Average Approximation with Covariate Information
Rohit Kannan, Güzin Bayraksan, James R. Luedtke
We study optimization for data-driven decision-making when we have observations of the uncertain parameters within the optimization model together with concurrent observations of c…