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Daniel F. Schmidt

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data

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Jan 28, 2024
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Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization

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Nov 03, 2023
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Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach

Nov 02, 2023
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Computing Marginal and Conditional Divergences between Decomposable Models with Applications

Oct 13, 2023
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QUANT: A Minimalist Interval Method for Time Series Classification

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Aug 02, 2023
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An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

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May 19, 2023
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Sparse Horseshoe Estimation via Expectation-Maximisation

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Nov 07, 2022
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HYDRA: Competing convolutional kernels for fast and accurate time series classification

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Mar 25, 2022
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MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

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Dec 16, 2020
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InceptionTime: Finding AlexNet for Time Series Classification

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Sep 13, 2019
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