Research output per year
Research output per year
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Dive into the research topics where Anselm Johannes Schmidt-Hieber is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Codivergences and information matrices
Derumigny, A. & Schmidt-Hieber, J., Jun 2024, In: Information Geometry. 7, p. 253-282 30 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile30 Downloads (Pure) -
Convergence guarantees for forward gradient descent in the linear regression model
Bos, T. & Schmidt-Hieber, J., Dec 2024, In: Journal of statistical planning and inference. 233, 106174.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile28 Downloads (Pure) -
Johannes Schmidt-Hieber's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning'
Schmidt-Hieber, J., Apr 2024, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 86, 2, p. 329 1 p.Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review
Open AccessFile86 Downloads (Pure) -
Local convergence rates of the nonparametric least squares estimator with applications to transfer learning
Schmidt-Hieber, J. & Zamolodtchikov, P., Aug 2024, In: Bernoulli. 30, 3, p. 1845-1877 33 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)28 Downloads (Pure) -
Lower bounds for the trade-off between bias and mean absolute deviation
Derumigny, A. & Schmidt-Hieber, J., Oct 2024, In: Statistics and Probability Letters. 213, 6 p., 110182.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile17 Downloads (Pure)
Activities
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Statistical learning in biological neural networks
Schmidt-Hieber, A. J. (Speaker)
4 Jan 2024 → 7 Jan 2024Activity: Talk or presentation › Invited talk
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Journal of statistical planning and inference (Journal)
Langer, S. (Editor), Schmidt-Hieber, A. J. (Editor) & Suzuki, T. (Guest Editor)
2024 → …Activity: Publication peer-review and editorial work › Editorial work
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A Statistical Analysis of an Image Classification Problem
Schmidt-Hieber, A. J. (Speaker)
9 Jan 2024Activity: Talk or presentation › Invited talk
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Statistical Learning in Biological Neural Networks
Schmidt-Hieber, A. J. (Speaker)
11 Jan 2024Activity: Talk or presentation › Invited talk
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Towards a statistical foundation for machine learning methods
Schmidt-Hieber, A. J. (Speaker)
15 Mar 2024Activity: Talk or presentation › Invited talk