Raed Al Kontar

47 papers A* 3A 1B 1Journal 42

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines - with Application to 3D Printing. CoRR Weishi Wang, Sicong Guo, Chenhuan Jiang, Mohamed Elidrisi, Myungjin Lee, Harsha V. Madhyastha, Raed Al Kontar, Chinedum Emmanuel Okwudire
2025	J	`jnl`	Collaborative and Distributed Bayesian Optimization via Consensus. IEEE Trans Autom. Sci. Eng. Xubo Yue, Yang Liu, Albert S. Berahas, Blake N. Johnson, Raed Al Kontar
2025	J	`jnl`	Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration. IEEE Trans Autom. Sci. Eng. Naichen Shi, Hao Yan, Shenghan Guo, Raed Al Kontar
2025	A*	`conf`	FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. AAAI Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin
2025	J	`jnl`	Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models. CoRR Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed Al Kontar
2025	J	`jnl`	LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization. CoRR Chih-Yu Chang, Milad Azvar, Chinedum Emmanuel Okwudire, Raed Al Kontar
2025	J	`jnl`	Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes. Technometrics Qiyuan Chen, Liangkui Jiang, Hantang Qin, Raed Al Kontar
2025	J	`jnl`	Online Learning of Optimal Sequential Testing Policies. CoRR Qiyuan Chen, Raed Al Kontar
2025	J	`jnl`	Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. Technometrics Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan
2025	J	`jnl`	Real-time adaptation for time-series signal prediction using label-aware neural processes. Reliab. Eng. Syst. Saf. Seokhyun Chung, Raed Al Kontar
2024	B	`conf`	Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective. IEEE Big Data Raed Al Kontar
2024	J	`jnl`	Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective. CoRR Raed Al Kontar
2024	J	`jnl`	FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. CoRR Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin
2024	J	`jnl`	Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
2024	J	`jnl`	Federated Condition Monitoring Signal Prediction With Improved Generalization. IEEE Trans. Reliab. Seokhyun Chung, Raed Al Kontar
2024	J	`jnl`	Federated Multi-Output Gaussian Processes. Technometrics Seokhyun Chung, Raed Al Kontar
2024	J	`jnl`	Intelligent Feedrate Optimization Using an Uncertainty-Aware Digital Twin Within a Model Predictive Control Framework. IEEE Access Heejin Kim, Raed Al Kontar, Chinedum Emmanuel Okwudire
2024	J	`jnl`	Personalized PCA: Decoupling Shared and Unique Features. J. Mach. Learn. Res. Naichen Shi, Raed Al Kontar
2024	J	`jnl`	Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes. CoRR Seokhyun Chung, Raed Al Kontar
2024	J	`jnl`	SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization. IEEE Trans. Neural Networks Learn. Syst. Xubo Yue, Maher Nouiehed, Raed Al Kontar
2024	J	`jnl`	The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs. CoRR Qiyuan Chen, Raed Al Kontar
2024	J	`jnl`	Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. CoRR Naichen Shi, Salar Fattahi, Raed Al Kontar
2024	J	`jnl`	Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. J. Mach. Learn. Res. Naichen Shi, Salar Fattahi, Raed Al Kontar
2023	J	`jnl`	Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design. CoRR Xubo Yue, Raed Al Kontar, Albert S. Berahas, Yang Liu, Zhenghao Zai, Kevin Edgar, Blake N. Johnson
2023	A*	`conf`	Personalized Dictionary Learning for Heterogeneous Datasets. NeurIPS Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
2023	J	`jnl`	Personalized Dictionary Learning for Heterogeneous Datasets. CoRR Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
2023	J	`jnl`	Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing. Technometrics Naichen Shi, Raed Al Kontar
2023	J	`jnl`	Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. CoRR Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan
2023	J	`jnl`	SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection. CoRR Xiaoyang Song, Wenbo Sun, Maher Nouiehed, Raed Al Kontar, Judy Jin
2022	J	`jnl`	A Continual Learning Framework for Adaptive Defect Classification and Inspection. CoRR Wenbo Sun, Raed Al Kontar, Judy Jin, Tzyy-Shuh Chang
2022	J	`jnl`	A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing. IEEE Trans Autom. Sci. Eng. Seokhyun Chung, Cheng-Hao Chou, Xiaozhu Fang, Raed Al Kontar, Chinedum Emmanuel Okwudire
2022	J	`jnl`	Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort. npj Digit. Medicine Corey A. Lester, Jiazhao Li, Yuting Ding, Brigid Rowell, Xi Jessie Yang, Raed Al Kontar
2022	J	`jnl`	Federated Data Analytics: A Study on Linear Models. CoRR Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez
2022	J	`jnl`	Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. J. Mach. Learn. Res. Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
2022	J	`jnl`	Personalized PCA: Decoupling Shared and Unique Features. CoRR Naichen Shi, Raed Al Kontar
2022	J	`jnl`	Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. CoRR Qiyuan Chen, Raed Al Kontar, Maher Nouiehed, Xi Jessie Yang, Corey A. Lester
2021	J	`jnl`	Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
2021	J	`jnl`	Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling. CoRR Xubo Yue, Raed Al Kontar
2021	J	`jnl`	GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR Xubo Yue, Maher Nouiehed, Raed Al Kontar
2021	J	`jnl`	Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. CoRR Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
2021	J	`jnl`	Joint Models for Event Prediction From Time Series and Survival Data. Technometrics Xubo Yue, Raed Al Kontar
2021	J	`jnl`	Performance evaluation of a prescription medication image classification model: an observational cohort. npj Digit. Medicine Corey A. Lester, Jiazhao Li, Yuting Ding, Brigid Rowell, Xi Jessie Yang, Raed Al Kontar
2020	J	`jnl`	SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR Xubo Yue, Maher Nouiehed, Raed Al Kontar
2020	A*	`conf`	Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes. NeurIPS Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
2020	J	`jnl`	Weakly-supervised Multi-output Regression via Correlated Gaussian Processes. CoRR Seokhyun Chung, Raed Al Kontar, Zhenke Wu
2020	A	`conf`	Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. AISTATS Xubo Yue, Raed Al Kontar
2019	J	`jnl`	Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. CoRR Xubo Yue, Raed Al Kontar