A new optimistic online mirror descent variant uses a post-hoc penalty to allow learning rates up to Θ(T) while bounding cumulative penalty at O(log T), achieving near-optimal dynamic regret and faster adaptation on non-stationary data.
Event labeling combining ensemble detectors and background knowledge
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Develops a skew-adaptive split conformal prediction method that learns local skewness via a gauge-derived conformity score and an asinh residual model while preserving marginal validity under exchangeability.
pandemonium is an R package that performs clustering in one space and links the resulting groups to visualizations in both predictor and response spaces via dimension reduction and tours.
citing papers explorer
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Agile Online Model Selection: Resolving Adaptation Lag via Safeguarded Large Learning Rates
A new optimistic online mirror descent variant uses a post-hoc penalty to allow learning rates up to Θ(T) while bounding cumulative penalty at O(log T), achieving near-optimal dynamic regret and faster adaptation on non-stationary data.
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Skew-adaptive conformal prediction
Develops a skew-adaptive split conformal prediction method that learns local skewness via a gauge-derived conformity score and an asinh residual model while preserving marginal validity under exchangeability.
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`pandemonium`: High Dimensional Analysis in Linked Spaces
pandemonium is an R package that performs clustering in one space and links the resulting groups to visualizations in both predictor and response spaces via dimension reduction and tours.