We study a multi-period, multi-item dynamic pricing problem faced by a retailer. The objective is to maximize the total profit by choosing prices, while satisfying several business rules. The strength of our work lies in our graphical model reformulation, which allows us to use ideas from...

Anomaly Detection is a method of identifying the suspicious occurrence of events and data items that could create problems for the concerned authorities. Data anomalies are usually associated with issues such as security issues, server crashes, bank fraud, building structural flaws, clinical...

With the growing literature on new definitions and metrics to measure fairness, the central question decision-makers face in many applications is which metric to select. When there is no consensus on a universal definition of fairness, we propose finding solutions that are approximately-optimal...

The k-secretary problem deals with online selection of at most k numerically scored \fe{applicants}, where selection decisions are immediate upon their arrival and irrevocable, with the goal of maximizing total score. There is, however, wide prevalence of bias in evaluations of applicants from...

COVID-19 is certainly the first sustainability crisis of the 21st century. The paper examines the impact of COVID-19 on the Indian stock and commodity markets during the different phases of lockdown. In addition, the effect of COVID-19 on the Indian stock and commodity markets during the first...

Companies that try to address inequality in employment face a paradox. Failing to address disparities regarding protected classes in a company’s workforce can result in legal sanctions; but proactive actions to address and avoid such disparities can also face legal scrutiny and sanctions too....