Qin Lu

IEEE Trans. Wirel. Commun., April, 2024

Weighted Ensembles for Adaptive Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing.

[BibT_eX]

[DOI]

Jia Yan

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Active labeling for online ensemble learning.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

2023

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process.

[BibT_eX]

[DOI]

Bingcong Li

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Incremental Ensemble Gaussian Processes.

[BibT_eX]

[DOI]

Georgios Vasileios Karanikolas

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Weighted Ensembles for Active Learning with Adaptivity.

[BibT_eX]

[DOI]

CoRR, 2022

Bayesian Optimization for Task Offloading and Resource Allocation in Mobile Edge Computing.

[BibT_eX]

[DOI]

Jia Yan

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2021

Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2021

Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts.

[BibT_eX]

[DOI]

Georgios Vasileios Karanikolas

Proceedings of the IEEE International Conference on Acoustics, 2021

Online Unsupervised Learning Using Ensemble Gaussian Processes with Random Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Gaussian Process Temporal-Difference Learning with Scalability and Worst-Case Performance Guarantees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation.

[BibT_eX]

[DOI]

Alireza Sadeghi

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Spatio-Temporal Inference of Dynamical Gaussian Processes Over Graphs.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Semi-Supervised Learning of Processes Over Multi-Relational Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability.

[BibT_eX]

[DOI]

Georgios Vasileios Karanikolas

Yanning Shen

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

2019

Estimation for a Thrusting/Ballistic Object With Mass Ejection From a Single Fixed Passive Sensor With Delayed Acquisition.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2019

Measurement Extraction for Two Closely-Spaced Objects Using an Imaging Sensor.

[BibT_eX]

[DOI]

Yaakov Bar-Shalom

Peter Willett

Francesco A. N. Palmieri

Ronen Ben-Dov

Benny Milgrom

IEEE Trans. Aerosp. Electron. Syst., 2019

Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

Learning Graph Processes with Multiple Dynamical Models.

[BibT_eX]

[DOI]

Mario Coutino

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Efficient Estimation of a Thrusting/Ballistic Trajectory Using a Single Passive Sensor.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2018

Tracking Initially Unresolved Thrusting Objects Using an Optical Sensor.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2018

Measurement Extraction for a Point Target From an Optical Sensor.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2018

2017

A Bootstrapped PMHT with Feature Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2017

The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2017

Parallel combinatory multicarrier modulation in underwater acoustic communications.

[BibT_eX]

[DOI]

IET Commun., 2017

Motion parameter estimation of a thrusting/ballistic object from a single fixed passive sensor with delayed acquisition.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Information Fusion, 2017

Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support.

[BibT_eX]

[DOI]