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As we can know the ground-truth label only after $H$ steps, we CANNOT immediately update the forecast model online when $H>1$.
The current implementation actually uses future information during online learning.
Is it invalid to experiment on large horizons? I'm looking forward to your ideas.
The text was updated successfully, but these errors were encountered:
MogicianXD
changed the title
Infeasible to keep online updating with horizon > 1
**Information Leakage**: Infeasible online learning with horizon > 1
Sep 25, 2023
As we can know the ground-truth label only after$H$ steps, we CANNOT immediately update the forecast model online when $H>1$ .
The current implementation actually uses future information during online learning.
Is it invalid to experiment on large horizons? I'm looking forward to your ideas.
The text was updated successfully, but these errors were encountered: