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Kia Khezeli
Kia Khezeli
Verified email at cornell.edu
Title
Cited by
Cited by
Year
On information gain and regret bounds in gaussian process bandits
S Vakili, K Khezeli, V Picheny
International Conference on Artificial Intelligence and Statistics, 82-90, 2021
1072021
Risk-sensitive learning and pricing for demand response
K Khezeli, E Bitar
IEEE Transactions on Smart Grid 9 (6), 6000-6007, 2017
622017
Safe Linear Stochastic Bandits
K Khezeli, E Bitar
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
282020
COVID-19 mortality prediction from deep learning in a large multistate electronic health record and laboratory information system data set: Algorithm development and validation
S Sankaranarayanan, J Balan, JR Walsh, Y Wu, S Minnich, A Piazza, ...
Journal of medical Internet research 23 (9), e30157, 2021
252021
A source-channel separation theorem with application to the source broadcast problem
K Khezeli, J Chen
IEEE Transactions on Information Theory 62 (4), 1764-1781, 2016
232016
On Invariance Penalties for Risk Minimization
K Khezeli, A Blaas, F Soboczenski, N Chia, J Kalantari
https://arxiv.org/abs/2106.09777, 2021
142021
Prototyping CRISP: a Causal Relation and Inference Search Platform applied to colorectal cancer data
S Budd, A Blaas, A Hoarfrost, K Khezeli, K D'Silva, F Soboczenski, ...
2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech …, 2021
132021
Learning to buy (and sell) demand response
K Khezeli, W Lin, E Bitar
IFAC-PapersOnLine 50 (1), 6761-6767, 2017
122017
Transformers in healthcare: A survey
S Nerella, S Bandyopadhyay, J Zhang, M Contreras, S Siegel, A Bumin, ...
arXiv preprint arXiv:2307.00067, 2023
82023
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks
B Shickel, B Silva, T Ozrazgat-Baslanti, Y Ren, K Khezeli, Z Guan, ...
Frontiers in Digital Health 4, 1029191, 2022
82022
Outer bounds on the admissible source region for broadcast channels with correlated sources
K Khezeli, J Chen
IEEE Transactions on Information Theory 61 (9), 4616-4629, 2015
82015
Biomonitoring and precision health in deep space supported by artificial intelligence
RT Scott, LM Sanders, EL Antonsen, JJA Hastings, S Park, G Mackintosh, ...
Nature Machine Intelligence 5 (3), 196-207, 2023
72023
Biological research and self-driving labs in deep space supported by artificial intelligence
LM Sanders, RT Scott, JH Yang, AA Qutub, H Garcia Martin, DC Berrios, ...
Nature Machine Intelligence 5 (3), 208-219, 2023
62023
Beyond low earth orbit: biomonitoring, artificial intelligence, and precision space health
RT Scott, EL Antonsen, LM Sanders, JJA Hastings, S Park, G Mackintosh, ...
arXiv preprint arXiv:2112.12554, 2021
52021
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
S Nerella, Z Guan, S Siegel, J Zhang, K Khezeli, A Bihorac, P Rashidi
arXiv preprint arXiv:2303.06252, 2023
32023
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units
S Nerella, K Khezeli, A Davidson, P Tighe, A Bihorac, P Rashidi
arXiv preprint arXiv:2211.06570, 2022
32022
Invariant risk minimisation for cross-organism inference: substituting mouse data for human data in human risk factor discovery
O O'Donoghue, P Duckworth, G Ughi, L Scheibenreif, K Khezeli, ...
arXiv preprint arXiv:2111.07348, 2021
32021
An online learning approach to buying and selling demand response
K Khezeli, E Bitar
arXiv preprint arXiv:1707.07342, 2017
32017
Data-driven pricing of demand response
K Khezeli, E Bitar
2016 IEEE International Conference on Smart Grid Communications …, 2016
32016
An improved outer bound on the admissible source region for broadcast channels with correlated sources
K Khezeli, J Chen
2014 IEEE International Symposium on Information Theory, 466-470, 2014
32014
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Articles 1–20