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Naman Shukla
Naman Shukla
FLYR Labs
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
How to incorporate monotonicity in deep networks while preserving flexibility?
A Gupta, N Shukla, L Marla, A Kolbeinsson, K Yellepeddi
arXiv preprint arXiv:1909.10662, 2019
552019
Dynamic pricing for airline ancillaries with customer context
N Shukla, A Kolbeinsson, K Otwell, L Marla, K Yellepeddi
Proceedings of the 25th ACM SIGKDD International Conference on knowledge …, 2019
482019
Galactic air improves ancillary revenues with dynamic personalized pricing
A Kolbeinsson, N Shukla, A Gupta, L Marla, K Yellepeddi
INFORMS Journal on Applied Analytics 52 (3), 233-249, 2022
11*2022
Distribution shift in airline customer behavior during COVID-19
A Garg, N Shukla, L Marla, S Somanchi
arXiv preprint arXiv:2111.14938, 2021
102021
From average customer to individual traveler: A field experiment in airline ancillary pricing
N Shukla, A Kolbeinsson, L Marla, K Yellepeddi
Available at SSRN 3518854, 2020
82020
Adaptive model selection framework: An application to airline pricing
N Shukla, A Kolbeinsson, L Marla, K Yellepeddi
arXiv preprint arXiv:1905.08874, 2019
82019
Pender: Incorporating shape constraints via penalized derivatives
A Gupta, L Marla, R Sun, N Shukla, A Kolbeinsson
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11536 …, 2021
62021
Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction
P Yang, A Kolbeinsson, N Shukla, JA Barria
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
2022
Negotiating Networks in Oligopoly Markets for Price-Sensitive Products
N Shukla, K Yellepeddi
arXiv preprint arXiv:2110.13303, 2021
2021
Leveraging Time Dependency in Graphs
A Kolbeinsson, N Shukla, D Solutions, A Gupta, L Marla
Flappy Bird Hack using Deep Reinforcement Learning with Double Q-learning
J Kong, U Champaign, N Shukla, S Bansal, Z Zhou, Z Na
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Articles 1–11