Raed Al Kontar
Cited by
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The internet of federated things (IoFT)
R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ...
IEEE Access 9, 156071-156113, 2021
Gifair-fl: A framework for group and individual fairness in federated learning
X Yue, M Nouiehed, R Al Kontar
INFORMS Journal on Data Science, 2022
Why non-myopic Bayesian optimization is promising and how far should we look-ahead? A study via rollout
X Yue, RAL Kontar
International Conference on Artificial Intelligence and Statistics, 2808-2818, 2020
Nonparametric modeling and prognosis of condition monitoring signals using multivariate Gaussian convolution processes
R Kontar, S Zhou, C Sankavaram, X Du, Y Zhang
Technometrics 60 (4), 484-496, 2018
Fed-ensemble: Ensemble models in federated learning for improved generalization and uncertainty quantification
N Shi, F Lai, R Al Kontar, M Chowdhury
IEEE Transactions on Automation Science and Engineering, 2023
Stochastic gradient descent in correlated settings: A study on gaussian processes
H Chen, L Zheng, R Al Kontar, G Raskutti
Advances in neural information processing systems 33, 2722-2733, 2020
Remaining useful life prediction based on the mixed effects model with mixture prior distribution
R Kontar, J Son, S Zhou, C Sankavaram, Y Zhang, X Du
IISE Transactions 49 (7), 682-697, 2017
Minimizing negative transfer of knowledge in multivariate gaussian processes: A scalable and regularized approach
R Kontar, G Raskutti, S Zhou
IEEE transactions on pattern analysis and machine intelligence 43 (10), 3508 …, 2020
Estimation and monitoring of key performance indicators of manufacturing systems using the multi-output Gaussian process
R Kontar, S Zhou, J Horst
International Journal of Production Research 55 (8), 2304-2319, 2017
Nonparametric-condition-based remaining useful life prediction incorporating external factors
R Kontar, S Zhou, C Sankavaram, X Du, Y Zhang
IEEE Transactions on Reliability 67 (1), 41-52, 2018
Statistical monitoring of multiple profiles simultaneously using Gaussian processes
S Jahani, R Kontar, D Veeramani, S Zhou
Quality and Reliability Engineering International 34 (8), 1510-1529, 2018
Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support
S Jahani, R Kontar, S Zhou, D Veeramani
IISE Transactions 52 (5), 537-554, 2020
Joint models for event prediction from time series and survival data
X Yue, RA Kontar
Technometrics 63 (4), 477-486, 2021
Salr: Sharpness-aware learning rate scheduler for improved generalization
X Yue, M Nouiehed, R Al Kontar
IEEE Transactions on Neural Networks and Learning Systems, 2023
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling
B Liu, X Yue, E Byon, RA Kontar
The Annals of Applied Statistics 16 (3), 1795-1821, 2022
Look-ahead decision making for renewable energy: A dynamic “predict and store” approach
J Wang, S Chung, A AlShelahi, R Kontar, E Byon, R Saigal
Applied Energy 296, 117068, 2021
Personalized PCA: Decoupling Shared and Unique Features
N Shi, R Al Kontar
Journal of Machine Leaning Research 25 (41), 1-82, 2024
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
X Yue, R Kontar
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Personalized federated learning via domain adaptation with an application to distributed 3D printing
N Shi, RA Kontar
Technometrics 65 (3), 328-339, 2023
A simple approach to multivariate monitoring of production processes with non-Gaussian data
Q Dong, R Kontar, M Li, G Xu, J Xu
Journal of Manufacturing Systems 53, 291-304, 2019
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