Tag: frequency
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FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection arXiv:2511.19476v1 Announce Type: new Abstract: Coreset selection compresses large datasets into compact, representative subsets, reducing the energy and computational burden of training deep neural networks. Existing methods are either: (i) DNN-based, which are tied to model-specific parameters and introduce architectural bias; or (ii) DNN-free, which rely on…
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FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition arXiv:2511.11817v1 Announce Type: new Abstract: Time series forecasting is essential in a wide range of real world applications. Recently, frequency-domain methods have attracted increasing interest for their ability to capture global dependencies. However, when applied to non-stationary time series, these methods encounter the $textit{spectral…
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From Point to probabilistic gradient boosting for claim frequency and severity prediction
From Point to probabilistic gradient boosting for claim frequency and severity prediction arXiv:2412.14916v1 Announce Type: new Abstract: Gradient boosting for decision tree algorithms are increasingly used in actuarial applications as they show superior predictive performance over traditional generalized linear models. Many improvements and sophistications to the first gradient boosting machine algorithm exist. We present in…