Estimation and monitoring of key performance indicators of manufacturing systems using the multi-output Gaussian process. - Raed Kontar; Shiyu Zhou; John Horst (Int. J. Prod. Res., 2017)

Statistical monitoring of multiple profiles simultaneously using Gaussian processes. - Salman Jahani; Raed Kontar; Dharmaraj Veeramani; Shiyu Zhou (Qual. Reliab. Eng. Int., 2018)

Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes. - Raed Kontar; Shiyu Zhou; Chaitanya Sankavaram; Xinyu Du; Yilu Zhang (Technometrics, 2018)

Nonparametric-Condition-Based Remaining Useful Life Prediction Incorporating External Factors. - Raed Kontar; Shiyu Zhou; Chaitanya Sankavaram; Xinyu Du; Yilu Zhang (IEEE Trans. Reliab., 2018)

Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes. - Xubo Yue; Raed Kontar (CoRR, 2019)

Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data. - Seokhyun Chung; Raed Kontar (CoRR, 2019)

The Rényi Gaussian Process. - Xubo Yue; Raed Kontar (CoRR, 2019)

Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. - Xubo Yue; Raed Al Kontar (CoRR, 2019)

Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. - Xubo Yue; Raed Al Kontar (AISTATS, 2020)

Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes. - Hao Chen 067; Lili Zheng; Raed Al Kontar; Garvesh Raskutti (NeurIPS, 2020)

Weakly-supervised Multi-output Regression via Correlated Gaussian Processes. - Seokhyun Chung; Raed Al Kontar; Zhenke Wu (CoRR, 2020)

On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes. - Moyan Li; Raed Kontar (CoRR, 2020)

SALR: Sharpness-aware Learning Rates for Improved Generalization. - Xubo Yue; Maher Nouiehed; Raed Al Kontar (CoRR, 2020)

Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support. - Salman Jahani; Raed Kontar; Shiyu Zhou; Dharmaraj Veeramani (IISE Trans., 2020)

The Internet of Federated Things (IoFT). - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Jionghua Jin 001; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (IEEE Access, 2021)

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. - Naichen Shi; Fan Lai 001; Raed Al Kontar; Mosharaf Chowdhury (CoRR, 2021)

GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. - Xubo Yue; Maher Nouiehed; Raed Al Kontar (CoRR, 2021)

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Judy Jin; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (CoRR, 2021)

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. - Hao Chen 067; Lili Zheng; Raed Al Kontar; Garvesh Raskutti (CoRR, 2021)

Performance evaluation of a prescription medication image classification model: an observational cohort. - Corey A. Lester; Jiazhao Li; Yuting Ding; Brigid Rowell; Xi Jessie Yang; Raed Al Kontar (npj Digit. Medicine, 2021)

Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. - Raed Kontar; Garvesh Raskutti; Shiyu Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Joint Models for Event Prediction From Time Series and Survival Data. - Xubo Yue; Raed Al Kontar (Technometrics, 2021)

Functional Principal Component Analysis for Extrapolating Multistream Longitudinal Data. - Seokhyun Chung; Raed Kontar (IEEE Trans. Reliab., 2021)

A Continual Learning Framework for Adaptive Defect Classification and Inspection. - Wenbo Sun; Raed Al Kontar; Judy Jin; Tzyy-Shuh Chang (CoRR, 2022)

Federated Data Analytics: A Study on Linear Models. - Xubo Yue; Raed Al Kontar; Ana María Estrada Gómez (CoRR, 2022)

Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. - Qiyuan Chen; Raed Al Kontar; Maher Nouiehed; Xi Jessie Yang; Corey A. Lester (CoRR, 2022)

Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. - Hao Chen 067; Lili Zheng; Raed Al Kontar; Garvesh Raskutti (J. Mach. Learn. Res., 2022)

Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort. - Corey A. Lester; Jiazhao Li; Yuting Ding; Brigid Rowell; Xi Jessie Yang; Raed Al Kontar (npj Digit. Medicine, 2022)

A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing. - Seokhyun Chung; Cheng-Hao Chou; Xiaozhu Fang; Raed Al Kontar; Chinedum Emmanuel Okwudire (IEEE Trans Autom. Sci. Eng., 2022)

On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes. - Moyan Li; Raed Kontar (SIAM/ASA J. Uncertain. Quantification, 2022)

Personalized Dictionary Learning for Heterogeneous Datasets. - Geyu Liang; Naichen Shi; Raed Al Kontar; Salar Fattahi (NeurIPS, 2023)

Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design. - Xubo Yue; Raed Al Kontar; Albert S. Berahas; Yang Liu; Zhenghao Zai; Kevin Edgar; Blake N. Johnson (CoRR, 2023)

SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection. - Xiaoyang Song; Wenbo Sun; Maher Nouiehed; Raed Al Kontar; Judy Jin (CoRR, 2023)

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing. - Naichen Shi; Raed Al Kontar (Technometrics, 2023)

Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective. - Raed Al Kontar (IEEE Big Data, 2024)

Intelligent Feedrate Optimization Using an Uncertainty-Aware Digital Twin Within a Model Predictive Control Framework. - Heejin Kim; Raed Al Kontar; Chinedum Emmanuel Okwudire (IEEE Access, 2024)

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes. - Seokhyun Chung; Raed Al Kontar (CoRR, 2024)

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. - Naichen Shi; Salar Fattahi; Raed Al Kontar (CoRR, 2024)

The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs. - Qiyuan Chen; Raed Al Kontar (CoRR, 2024)

Personalized PCA: Decoupling Shared and Unique Features. - Naichen Shi; Raed Al Kontar (J. Mach. Learn. Res., 2024)

Federated Multi-Output Gaussian Processes. - Seokhyun Chung; Raed Al Kontar (Technometrics, 2024)

Federated Condition Monitoring Signal Prediction With Improved Generalization. - Seokhyun Chung; Raed Al Kontar (IEEE Trans. Reliab., 2024)

Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling. - Xubo Yue; Raed Kontar (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. - Naichen Shi; Fan Lai 001; Raed Al Kontar; Mosharaf Chowdhury (IEEE Trans Autom. Sci. Eng., 2024)

SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization. - Xubo Yue; Maher Nouiehed; Raed Al Kontar (IEEE Trans. Neural Networks Learn. Syst., 2024)

FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. - Tanapol Kosolwattana; Huazheng Wang; Raed Al Kontar; Ying Lin (AAAI, 2025)

Real-time adaptation for time-series signal prediction using label-aware neural processes. - Seokhyun Chung; Raed Al Kontar (Reliab. Eng. Syst. Saf., 2025)

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration. - Naichen Shi; Hao Yan; Shenghan Guo; Raed Al Kontar (IEEE Trans Autom. Sci. Eng., 2025)

Collaborative and Distributed Bayesian Optimization via Consensus. - Xubo Yue; Yang Liu; Albert S. Berahas; Blake N. Johnson; Raed Al Kontar (IEEE Trans Autom. Sci. Eng., 2025)

Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes. - Qiyuan Chen; Liangkui Jiang; Hantang Qin; Raed Al Kontar (Technometrics, 2025)

LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization. - Chih-Yu Chang; Milad Azvar; Chinedum Emmanuel Okwudire; Raed Al Kontar (CoRR, 2025)

Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models. - Haoyi Song; Ruihan Ji; Naichen Shi; Fan Lai 001; Raed Al Kontar (CoRR, 2025)

A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines - with Application to 3D Printing. - Weishi Wang; Sicong Guo; Chenhuan Jiang; Mohamed Elidrisi; Myungjin Lee; Harsha V. Madhyastha; Raed Al Kontar; Chinedum Emmanuel Okwudire (CoRR, 2025)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. - Jiuyun Hu; Naichen Shi; Raed Al Kontar; Hao Yan (Technometrics, 2025)