Mollenhauer, M., Mücke, N., Meunier, D., & Gretton, A. (2025). Regularized least squares learning with heavy-tailed noise is minimax optimal.
Style de citation Chicago (17e éd.)Mollenhauer, Mattes, Nicole Mücke, Dimitri Meunier, et Arthur Gretton. Regularized Least Squares Learning with Heavy-tailed Noise Is Minimax Optimal. 2025.
Style de citation MLA (9e éd.)Mollenhauer, Mattes, et al. Regularized Least Squares Learning with Heavy-tailed Noise Is Minimax Optimal. 2025.
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