27 citations · 33 across the 5 of their papers we have counts for
6 papers
Time series forecasting with high stakes: A field study of the air cargo industry
Abhinav Garg, Naman Shukla, Maarten Wormer
Time series forecasting in the air cargo industry presents unique challenges due to volatile market dynamics and the significant impact of accurate forecasts on generated revenue.…
Distribution Shift in Airline Customer Behavior during COVID-19
Abhinav Garg, Naman Shukla, Lavanya Marla +1
Traditional AI approaches in customized (personalized) contextual pricing applications assume that the data distribution at the time of online pricing is similar to that observed d…
Negotiating Networks in Oligopoly Markets for Price-Sensitive Products
Naman Shukla, Kartik Yellepeddi
We present a novel framework to learn functions that estimate decisions of sellers and buyers simultaneously in an oligopoly market for a price-sensitive product. In this setting,…
How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?
Akhil Gupta, Naman Shukla, Lavanya Marla +2
The importance of domain knowledge in enhancing model performance and making reliable predictions in the real-world is critical. This has led to an increased focus on specific mode…
Adaptive Model Selection Framework: An Application to Airline Pricing
Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla +1
Multiple machine learning and prediction models are often used for the same prediction or recommendation task. In our recent work, where we develop and deploy airline ancillary pri…
Dynamic Pricing for Airline Ancillaries with Customer Context
Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell +2
Ancillaries have become a major source of revenue and profitability in the travel industry. Yet, conventional pricing strategies are based on business rules that are poorly optimiz…