Stephan Sloth Lorenzen

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 10

Top Topics

Classifier Ensemble

Generalization Bounds

Top Venues

Publications

Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen
Online transfer learning with partial feedback. Expert Syst. Appl. 212 (2023)
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR (2022)
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. CoRR (2021)
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. NeurIPS (2021)
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR (2021)
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR (2020)
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS (2020)
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
On PAC-Bayesian bounds for random forests. Mach. Learn. 108 (8-9) (2019)
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
On PAC-Bayesian Bounds for Random Forests. CoRR (2018)
Stephan Sloth Lorenzen, Pawel Winter
Steiner Tree Heuristic in the Euclidean d-Space Using Bottleneck Distances. SEA (2016)