Publications

Simon Keckstein, Jürgen Dippon, Gernot Hudelist, Philippe Koninckx, George Condous, Lennard Schroeder, and Jörg Keckstein. Sonomorphologic Changes in Colorectal Deep Endometriosis : The Long-Term Impact of Age and Hormonal Treatment. Ultraschall in der Medizin, Thieme, 2023. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Nicole Mücke, and Ingo Steinwart. Empirical Risk Minimization in the Interpolating Regime with Application to Neural Network Learning. 2019. [PUMA: sent ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie]

Hüseyin Afşer, László Györfi, and Harro Walk. Classification With Repeated Observations. IEEE signal processing letters, (30):1522-1526, IEEE, 2023. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

László Györfi, Tamás Linder, and Harro Walk. Lossless Transformations and Excess Risk Bounds in Statistical Inference. Entropy, (25)10:1394, MDPI, 2023. [PUMA: oa ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Jürgen Dippon, Joachim Gwinner, Akhtar A. Khan, and Miguel Sama. A new regularized stochastic approximation framework for stochastic inverse problems. Nonlinear analysis-real world applications, (73)October:103869, Elsevier, 2023. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Thomas Hamm, and Ingo Steinwart. Intrinsic Dimension Adaptive Partitioning for Kernel Methods. SIAM journal on mathematics of data science, (4)2:721-749, Society for Industrial and Applied Mathematics, 2022. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression arXiv v3. 2023. [PUMA: darus mult ubs_10003 ubs_10008 ubs_10021 ubs_20003 ubs_20013 ubs_20019 ubs_30039 ubs_30126 ubs_30165 ubs_40065 ubs_40202 unibibliografie]

Fabian Echterdiek, Daniel Kitterer, Jürgen Dippon, Matthias Ott, Gregor Paul, Joerg Latus, and Vedat Schwenger. Outcome of kidney transplantations from ≥65-year-old deceased donors with acute kidney injury. Clinical transplantation, (36)5:e14612, Wiley, 2022. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression arXiv v2. 2022. [PUMA: darus mult ubs_10003 ubs_10008 ubs_10021 ubs_20003 ubs_20013 ubs_20019 ubs_30039 ubs_30126 ubs_30165 ubs_40065 ubs_40202 unibibliografie]

Fabian Echterdiek, Constantin Tilgener, Jürgen Dippon, Daniel Kitterer, Justus Scheder-Bieschin, Gregor Paul, Matthias Ott, Ulrich Humke, Vedat Schwenger, and Jörg Latus. Impact of the explanting surgeon’s impression of donor arteriosclerosis on outcome of kidney transplantations from donors aged ≥65 years. Langenbeck's archives of surgery, (407)2:727-737, Springer, 2022. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Manuel Nonnenmacher, David Reeb, and Ingo Steinwart. Which Minimizer Does My Neural Network Converge To?. In Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, and Jose A. Lozano (Eds.), Machine Learning and Knowledge Discovery in Databases : Research Track, (3)12977:87-102, Springer, Berlin, 2021. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Thomas Hamm, and Ingo Steinwart. Adaptive learning rates for support vector machines working on data with low intrinsic dimension. The annals of statistics, (49)6:3153-3180, Institute of Mathematical Statistics, 2021. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Hanyuan Hang, and Ingo Steinwart. Optimal learning with anisotropic Gaussian SVMs. Applied and computational harmonic analysis, (55)November:337-367, Academic Press, 2021. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

David Holzmüller, and Ingo Steinwart. Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent. 2022. [PUMA: darus ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie]

David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression arXiv v1. 2022. [PUMA: darus mult ubs_10003 ubs_10008 ubs_10021 ubs_20003 ubs_20013 ubs_20019 ubs_30039 ubs_30126 ubs_30165 ubs_40065 ubs_40202 unibibliografie]

Fabian Echterdiek, Daniel Kitterer, Jürgen Dippon, Gregor Paul, Vedat Schwenger, and Jörg Latus. Impact of cardiopulmonary resuscitation on outcome of kidney transplantations from braindead donors aged ≥65 years. Clinical transplantation, (35)11:e14452, Wiley-Blackwell, 2021. [PUMA: ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Gerhard Stauch, Peter Fritz, Rauofi Rokai, Atiq Sediqi, Haroon Firooz, Hans Ullrich Völker, Michael Weinhara, Joachim Mollin, Bishara Soudah, Peter Dalquen, Friedhelm Brinckmann, and Jürgen Dippon. The Importance of Clinical Data for the Diagnosis of Breast Tumours in North Afghanistan. International journal of breast cancer, (2021):6625239, Sage-Hindawi, 2021. [PUMA: oa ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

Thomas B. Berrett, László Györfi, and Harro Walk. Strongly universally consistent nonparametric regression and classification with privatised data. Electronic journal of statistics, (15)1:2430-2453, Cornell University Library, 2021. [PUMA: oa ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]

David Holzmüller, and Ingo Steinwart. Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent. Cornell University, 2020. [PUMA: sent ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie]

Severin Schricker, David Callau Monje, Jürgen Dippon, Martin Kimmel, Mark Dominik Alscher, and Moritz Schanz. Physician-guided, hybrid genetic testing exerts promising effects on health-related behavior without compromising quality of life. Scientific reports, (11)1:8494, Nature Publishing Group, 2021. [PUMA: oa ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos]