Raed Kontar

IEEE Trans. Reliab., March, 2024

Federated Multi-Output Gaussian Processes.

[BibT_eX]

[DOI]

Technometrics, 2024

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes.

[BibT_eX]

[DOI]

CoRR, 2024

Intelligent Feedrate Optimization Using an Uncertainty-Aware Digital Twin Within a Model Predictive Control Framework.

[BibT_eX]

[DOI]

Heejin Kim

IEEE Access, 2024

2023

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing.

[BibT_eX]

[DOI]

Naichen Shi

Technometrics, July, 2023

SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data.

[BibT_eX]

[DOI]

CoRR, 2023

Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Dictionary Learning for Heterogeneous Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes.

[BibT_eX]

[DOI]

Moyan Li

SIAM/ASA J. Uncertain. Quantification, December, 2022

A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Personalized PCA: Decoupling Shared and Unique Features.

[BibT_eX]

[DOI]

Naichen Shi

CoRR, 2022

Federated Data Analytics: A Study on Linear Models.

[BibT_eX]

[DOI]

Ana María Estrada Gómez

CoRR, 2022

A Continual Learning Framework for Adaptive Defect Classification and Inspection.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Functional Principal Component Analysis for Extrapolating Multistream Longitudinal Data.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2021

Joint Models for Event Prediction From Time Series and Survival Data.

[BibT_eX]

[DOI]

Technometrics, 2021

Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach.

[BibT_eX]

[DOI]

Garvesh Raskutti

Shiyu Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Performance evaluation of a prescription medication image classification model: an observational cohort.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2021

Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits.

[BibT_eX]

[DOI]

CoRR, 2021

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning.

[BibT_eX]

[DOI]

Maher Nouiehed

CoRR, 2021

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

The Internet of Federated Things (IoFT).

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support.

[BibT_eX]

[DOI]

IISE Trans., 2020

SALR: Sharpness-aware Learning Rates for Improved Generalization.

[BibT_eX]

[DOI]

Maher Nouiehed

CoRR, 2020

On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes.

[BibT_eX]

[DOI]

Moyan Li

CoRR, 2020

Weakly-supervised Multi-output Regression via Correlated Gaussian Processes.

[BibT_eX]

[DOI]

Zhenke Wu

CoRR, 2020

Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons.

[BibT_eX]

[DOI]

CoRR, 2019

The Rényi Gaussian Process.

[BibT_eX]

[DOI]

CoRR, 2019

Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Nonparametric-Condition-Based Remaining Useful Life Prediction Incorporating External Factors.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2018

Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes.

[BibT_eX]

[DOI]

Technometrics, 2018

Statistical monitoring of multiple profiles simultaneously using Gaussian processes.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2018

2017

Estimation and monitoring of key performance indicators of manufacturing systems using the multi-output Gaussian process.

[BibT_eX]

[DOI]