Search Results for author: Lavanya Marla

Found 7 papers, 1 papers with code

Provably High-Quality Solutions for the Liquid Medical Oxygen Allocation Problem

no code implementations11 Dec 2022 Lejun Zhou, Lavanya Marla, Varun Gupta, Ankur Mani

However, many countries and regions are not prepared for the emergence of this phenomenon, and the limited supply of LMO has resulted in unsatisfied usage needs in many regions.

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.

Impact of Aviation Electrification on Airports: Flight Scheduling and Charging

no code implementations20 Aug 2021 Boya Hou, Subhonmesh Bose, Lavanya Marla, Kiruba Haran

We then illustrate that smart charging and minor modifications to flight schedules can substantially reduce peak power demands, and in turn the needs for grid infrastructure upgrade.


Short and Wide Network Paths

no code implementations1 Nov 2019 Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale

We show this notion of pipelined network flow is optimized using network paths that are both short and wide, and develop efficient algorithms to compute such paths for given pairs of nodes and for all-pairs.

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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