59 citations · 129 across the 21 of their papers we have counts for
5 papers · 1 filter
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
Raed Al Kontar
We focus on collaborative and federated black-box optimization (BBOpt), where agents optimize their heterogeneous black-box functions through collaborative sequential experimentati…
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
Qiyuan Chen, Raed Al Kontar
This paper introduces a framework for Bayesian Optimization (BO) with metric movement costs, addressing a critical challenge in practical applications where input alterations incur…
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar +1
Online learning has demonstrated notable potential to dynamically allocate limited resources to monitor a large population of processes, effectively balancing the exploitation of p…
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
Naichen Shi, Salar Fattahi, Raed Al Kontar
In this work, we study the problem of common and unique feature extraction from noisy data. When we have N observation matrices from N different and associated sources corrupted by…
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
Seokhyun Chung, Raed Al Kontar
Building a predictive model that rapidly adapts to real-time condition monitoring (CM) signals is critical for engineering systems/units. Unfortunately, many current methods suffer…