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2020 – today
- 2024
[j22]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: 49947-49961 (2024)- [j21]Naichen Shi, Raed Al Kontar:
Personalized PCA: Decoupling Shared and Unique Features. J. Mach. Learn. Res. 25: 41:1-41:82 (2024) - [j20]Xubo Yue, Raed Kontar:
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4246-4261 (2024) - [j19]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): 2792-2803 (2024) - [j18]Seokhyun Chung, Raed Al Kontar:
Federated Multi-Output Gaussian Processes. Technometrics 66(1): 90-103 (2024) - [j17]Xubo Yue, Maher Nouiehed, Raed Al Kontar:
SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12518-12527 (2024) - [j16]Seokhyun Chung, Raed Al Kontar:
Federated Condition Monitoring Signal Prediction With Improved Generalization. IEEE Trans. Reliab. 73(1): 438-450 (2024) - [i25]Seokhyun Chung, Raed Al Kontar:
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes. CoRR abs/2403.16377 (2024) - [i24]Naichen Shi, Salar Fattahi, Raed Al Kontar:
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. CoRR abs/2404.07955 (2024) - [i23]Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin:
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. CoRR abs/2405.20504 (2024) - [i22]Qiyuan Chen, Raed Al Kontar:
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs. CoRR abs/2410.14533 (2024) - 2023
- [j15]Naichen Shi, Raed Al Kontar:
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing. Technometrics 65(3): 328-339 (2023) - [c3]Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi:
Personalized Dictionary Learning for Heterogeneous Datasets. NeurIPS 2023 - [i21]Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi:
Personalized Dictionary Learning for Heterogeneous Datasets. CoRR abs/2305.15311 (2023) - [i20]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 abs/2306.14348 (2023) - [i19]Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan:
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. CoRR abs/2309.03439 (2023) - [i18]Xiaoyang Song, Wenbo Sun, Maher Nouiehed, Raed Al Kontar, Judy Jin:
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection. CoRR abs/2310.08040 (2023) - 2022
- [j14]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: 227:1-227:59 (2022) - [j13]Moyan Li, Raed Kontar:
On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes. SIAM/ASA J. Uncertain. Quantification 10(4): 1714-1732 (2022) - [j12]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) - [j11]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): 1675-1687 (2022) - [i17]Wenbo Sun, Raed Al Kontar, Judy Jin, Tzyy-Shuh Chang:
A Continual Learning Framework for Adaptive Defect Classification and Inspection. CoRR abs/2203.08796 (2022) - [i16]Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez:
Federated Data Analytics: A Study on Linear Models. CoRR abs/2206.07786 (2022) - [i15]Naichen Shi, Raed Al Kontar:
Personalized PCA: Decoupling Shared and Unique Features. CoRR abs/2207.08041 (2022) - [i14]Qiyuan Chen, Raed Al Kontar, Maher Nouiehed, Xi Jessie Yang, Corey A. Lester:
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. CoRR abs/2208.11739 (2022) - 2021
- [j10]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye:
The Internet of Federated Things (IoFT). IEEE Access 9: 156071-156113 (2021) - [j9]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) - [j8]Raed Kontar, Garvesh Raskutti, Shiyu Zhou:
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3508-3522 (2021) - [j7]Xubo Yue, Raed Al Kontar:
Joint Models for Event Prediction From Time Series and Survival Data. Technometrics 63(4): 477-486 (2021) - [j6]Seokhyun Chung, Raed Kontar:
Functional Principal Component Analysis for Extrapolating Multistream Longitudinal Data. IEEE Trans. Reliab. 70(4): 1321-1331 (2021) - [i13]Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR abs/2107.10663 (2021) - [i12]Xubo Yue, Maher Nouiehed, Raed Al Kontar:
GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR abs/2108.02741 (2021) - [i11]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, Romesh Saigal, Karandeep Singh, Zhisheng Ye:
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR abs/2111.05326 (2021) - [i10]Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti:
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. CoRR abs/2111.10461 (2021) - [i9]Xubo Yue, Raed Al Kontar:
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling. CoRR abs/2111.14008 (2021) - 2020
- [j5]Salman Jahani, Raed Kontar, Shiyu Zhou, Dharmaraj Veeramani:
Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support. IISE Trans. 52(5): 537-554 (2020) - [c2]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: 2808-2818 - [c1]Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti:
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes. NeurIPS 2020 - [i8]Seokhyun Chung, Raed Al Kontar, Zhenke Wu:
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes. CoRR abs/2002.08412 (2020) - [i7]Moyan Li, Raed Kontar:
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes. CoRR abs/2004.02382 (2020) - [i6]Xubo Yue, Maher Nouiehed, Raed Al Kontar:
SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR abs/2011.05348 (2020)
2010 – 2019
- 2019
- [i5]Raed Kontar, Garvesh Raskutti, Shiyu Zhou:
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. CoRR abs/1901.11512 (2019) - [i4]Xubo Yue, Raed Kontar:
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes. CoRR abs/1903.03867 (2019) - [i3]Seokhyun Chung, Raed Kontar:
Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data. CoRR abs/1903.03871 (2019) - [i2]Xubo Yue, Raed Kontar:
The Rényi Gaussian Process. CoRR abs/1910.06990 (2019) - [i1]Xubo Yue, Raed Al Kontar:
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. CoRR abs/1911.01004 (2019) - 2018
- [j4]Salman Jahani, Raed Kontar, Dharmaraj Veeramani, Shiyu Zhou:
Statistical monitoring of multiple profiles simultaneously using Gaussian processes. Qual. Reliab. Eng. Int. 34(8): 1510-1529 (2018) - [j3]Raed Kontar, Shiyu Zhou, Chaitanya Sankavaram, Xinyu Du, Yilu Zhang:
Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes. Technometrics 60(4): 484-496 (2018) - [j2]Raed Kontar, Shiyu Zhou, Chaitanya Sankavaram, Xinyu Du, Yilu Zhang:
Nonparametric-Condition-Based Remaining Useful Life Prediction Incorporating External Factors. IEEE Trans. Reliab. 67(1): 41-52 (2018) - 2017
- [j1]Raed Kontar, Shiyu Zhou, John Horst:
Estimation and monitoring of key performance indicators of manufacturing systems using the multi-output Gaussian process. Int. J. Prod. Res. 55(8): 2304-2319 (2017)
Coauthor Index
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last updated on 2024-12-01 01:08 CET by the dblp team
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