Raed Al Kontar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Gaussian Process

Top Venues

IEEE Trans Autom. Sci. Eng.

npj Digit. Medicine

Publications

Heejin Kim, Raed Al Kontar, Chinedum Emmanuel Okwudire
Intelligent Feedrate Optimization Using an Uncertainty-Aware Digital Twin Within a Model Predictive Control Framework. IEEE Access 12 (2024)
Naichen Shi, Salar Fattahi, Raed Al Kontar
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. CoRR (2024)
Seokhyun Chung, Raed Al Kontar
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes. CoRR (2024)
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Seokhyun Chung, Raed Al Kontar
Federated Condition Monitoring Signal Prediction With Improved Generalization. IEEE Trans. Reliab. 73 (1) (2024)
Seokhyun Chung, Raed Al Kontar
Federated Multi-Output Gaussian Processes. Technometrics 66 (1) (2024)
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. CoRR (2024)
Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
Personalized Dictionary Learning for Heterogeneous Datasets. CoRR (2023)
Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. CoRR (2023)
Naichen Shi, Raed Al Kontar
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing. Technometrics 65 (3) (2023)
Xiaoyang Song, Wenbo Sun, Maher Nouiehed, Raed Al Kontar, Judy Jin
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection. CoRR (2023)
Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
Personalized Dictionary Learning for Heterogeneous Datasets. NeurIPS (2023)
Xubo Yue, Raed Al Kontar, Albert S. Berahas, Yang Liu, Zhenghao Zai, Kevin Edgar, Blake N. Johnson
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design. CoRR (2023)
Naichen Shi, Raed Al Kontar
Personalized PCA: Decoupling Shared and Unique Features. CoRR (2022)
Wenbo Sun, Raed Al Kontar, Judy Jin, Tzyy-Shuh Chang
A Continual Learning Framework for Adaptive Defect Classification and Inspection. CoRR (2022)
Seokhyun Chung, Cheng-Hao Chou, Xiaozhu Fang, Raed Al Kontar, Chinedum Emmanuel Okwudire
A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez
Federated Data Analytics: A Study on Linear Models. CoRR (2022)
Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. J. Mach. Learn. Res. 23 (2022)
Corey A. Lester, Jiazhao Li, Yuting Ding, Brigid Rowell, Xi Jessie Yang, Raed Al Kontar
Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort. npj Digit. Medicine 5 (2022)
Qiyuan Chen, Raed Al Kontar, Maher Nouiehed, Jessie Yang, Corey Lester
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. CoRR (2022)
Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. CoRR (2021)
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR (2021)
Xubo Yue, Raed Al Kontar
Joint Models for Event Prediction From Time Series and Survival Data. Technometrics 63 (4) (2021)
Xubo Yue, Maher Nouiehed, Raed Al Kontar
GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR (2021)
Corey A. Lester, Jiazhao Li, Yuting Ding, Brigid Rowell, Xi Jessie Yang, Raed Al Kontar
Performance evaluation of a prescription medication image classification model: an observational cohort. npj Digit. Medicine 4 (2021)
Xubo Yue, Raed Al Kontar
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling. CoRR (2021)
Xubo Yue, Raed Al Kontar
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. AISTATS (2020)
Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes. NeurIPS (2020)
Seokhyun Chung, Raed Al Kontar, Zhenke Wu
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes. CoRR (2020)
Xubo Yue, Maher Nouiehed, Raed Al Kontar
SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR (2020)
Xubo Yue, Raed Al Kontar
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. CoRR (2019)