nonparametric regression
PulseAugur coverage of nonparametric regression — every cluster mentioning nonparametric regression across labs, papers, and developer communities, ranked by signal.
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New criterion for conditional expectation operators in machine learning
A new paper introduces a verifiable criterion for understanding conditional expectation operators (CEOs) and conditional mean embeddings (CMEs). These concepts are crucial in areas like nonparametric regression, Bayesia…
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Standard Transformers achieve optimal rates in nonparametric regression
A new arXiv paper demonstrates that standard Transformer models can achieve optimal rates in nonparametric regression tasks when approximating Hölder functions. The research provides a theoretical foundation for the eff…
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New research advances conformal prediction for uncertainty quantification · 8 sources tracked
Researchers have developed new theoretical frameworks and computational methods to enhance conformal prediction, a technique for quantifying uncertainty in machine learning models. One paper proposes an optimal data spl…
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New regression method enhances foundation model safety and accuracy
Researchers have developed a new method for black-box assisted regression that aims to improve the reliability of foundation models when used for downstream tasks with limited data. The approach, called the Safe Residua…
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Shallow ReLU-s Networks Approximation and Generalization Explored
Researchers have published a paper detailing approximation bounds for shallow ReLU-s networks within L^p-type and Sobolev spaces. The study utilizes spherical harmonic analysis to establish these bounds, showing improve…