Evolve on the Host, Predict on the Edge: Deploying Online Neuroevolutionary Architecture Search for Cross-sectional Stock Return Prediction
cs.CE, cs.LG, cs.NE
Submitted: 2026-10-07
Updated: 2026-10-07
Code: https://github.com/zimenglyu/ONENAS
Sources
- Chronos: Learning the Language of Time Series
- Once-for-All: Train One Network and Specialize it for Efficient Deployment
- A decoder-only foundation model for time-series forecasting
- Learning Fast and Slow for Online Time Series Forecasting
- Unified Training of Universal Time Series Forecasting Transformers
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