Search Results for author:
Found 7 papers, 3 papers with code
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
The acceleration in the adoption of AI-based automated decision-making systems poses a challenge for evaluating the fairness of algorithmic decisions, especially in the absence of ground truth.
Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets
We introduce a pattern mining framework that operates on semi-structured datasets and exploits the dichotomy between outcomes.
Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem
We present insights into the problem and a series of numerical experiments that illustrate properties of the optimal routing, scheduling, and the impact of the Route Fracture Metaheuristic for both models of cancellation.
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for Python
Contextual multi-armed bandit algorithms serve as an effective technique to address online sequential decision-making problems.
Column Generation for Interaction Coverage in Combinatorial Software Testing
This paper proposes a novel column generation framework for combinatorial software testing.
Transformation-based Feature Computation for Algorithm Portfolios
For a portfolio approach to be effective there are two crucial conditions that must be met.
DASH: Dynamic Approach for Switching Heuristics
Complete tree search is a highly effective method for tackling MIP problems, and over the years, a plethora of branching heuristics have been introduced to further refine the technique for varying problems.
