no code implementations • 25 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.
1 code implementation • 24 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.
no code implementations • 21 May 2019 • Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla, Kartik Yellepeddi
Multiple machine learning and prediction models are often used for the same prediction or recommendation task.
no code implementations • 6 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.