ICAIF 2025 — Oral Presentation: Online Ensemble Learning for Sector Rotation
I’m delighted to share that my paper “Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework”
(co-authored with P. Polak) has been accepted for oral presentation at the
6th ACM International Conference on AI in Finance (ICAIF ’25), to be held in Singapore.
This paper introduces a gradient-free online ensemble learning framework for sector rotation —
a gradient-free online ensemble learning algorithm that dynamically combines forecasts from a heterogeneous set of machine learning models based on their recent predictive performance.
The work was accepted for oral presentation with a 15.5% acceptance rate,
highlighting its recognition among competitive AI & Finance submissions.
🎙️ Presentation Details
Session: Time-Series Modeling and Forecasting
Type: Oral Session
Date: Tuesday, November 18, 2025
Time: 10:50 AM – 11:10 AM (Singapore Time)
Location: Ballroom 4
Conference: 6th ACM International Conference on AI in Finance (ICAIF ’25)
Subsession Schedule:
| Time (SGT) | Presentation Title | |————-|——————–| | 10:30 – 10:50 AM | DeltaLag: Learning Dynamic Lead–Lag Patterns in Financial Markets | | 10:50 – 11:10 AM | Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework (J. Miao, P. Polak) | | 11:10 – 11:30 AM | Factor-Driven Network Informed Restricted Vector Autoregression |
📄 Authors: Jiaju Miao & Pawel Polak
🔗 Paper: arXiv PDF
📅 Conference: ICAIF 2025, Singapore
🎤 Format: Oral Presentation — Time-Series Modeling and Forecasting (Ballroom 4)
Thank you to the ICAIF 2025 program committee for the opportunity to present this work.
I look forward to sharing more details, slides, and insights from the conference soon!