Konstantinos D. Polyzos

According to our database, Konstantinos D. Polyzos authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weighted Ensembles for Adaptive Active Learning.

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

IEEE Trans. Signal Process., 2024

Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing.

Jia Yan, Qin Lu, Konstantinos D. Polyzos

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

Active labeling for online ensemble learning.

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

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

2023

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process.

Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis

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

3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning.

Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson, Georgios B. Giannakis, Nikolaos Papanikolopoulos

CoRR, 2023

Physics-Informed Transfer Learning for Voltage Stability Margin Prediction.

Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2023

Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement.

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2023

Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs.

Qin Lu, Konstantinos D. Polyzos

Proceedings of the IEEE International Conference on Acoustics, 2023

Bayesian Self-Supervised Learning Using Local and Global Graph Information.

Konstantinos D. Polyzos, Alireza Sadeghi, Georgios B. Giannakis

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference.

Stavroula Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

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

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

IEEE Trans. Signal Process., 2022

Weighted Ensembles for Active Learning with Adaptivity.

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

CoRR, 2022

Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles.

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

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

2021

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

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis

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

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

Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis

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

2020

Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks.

Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020