Search Results for author: Naman Shukla

Found 5 papers, 1 papers with code

Distribution Shift in Airline Customer Behavior during COVID-19

no code implementations29 Nov 2021 Abhinav Garg, Naman Shukla, Lavanya Marla, Sriram Somanchi

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 during training.

Negotiating Networks in Oligopoly Markets for Price-Sensitive Products

no code implementations25 Oct 2021 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.

How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?

1 code implementation24 Sep 2019 Akhil Gupta, Naman Shukla, Lavanya Marla, Arinbjörn Kolbeinsson, Kartik Yellepeddi

We focus on incorporating monotonic trends, and propose a novel gradient-based point-wise loss function for enforcing partial monotonicity with deep neural networks.

Dynamic Pricing for Airline Ancillaries with Customer Context

no code implementations6 Feb 2019 Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi

We also measure the real-world business impact of these approaches by deploying them in an A/B test on an airline's internet booking website.

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