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Stephan Sloth Lorenzen
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2020 – today
- 2023
- [j2]Zhongfeng Kang
, Mads Nielsen
Online transfer learning with partial feedback. Expert Syst. Appl. 212: 118738 (2023) - 2022
- [c6]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR 2022 - 2021
- [c5]Stephan Sloth Lorenzen, Ninh Pham
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract). IJCAI 2021: 4789-4793 - [c4]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: 12625-12636 - [i5]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR abs/2106.12912 (2021) - [i4]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 abs/2106.13624 (2021) - 2020
- [c3]Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS 2020 - [c2]Stephan Sloth Lorenzen
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. ECML/PKDD (1) 2020: 439-455 - [i3]Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR abs/2007.13532 (2020)
2010 – 2019
- 2019
- [j1]Stephan Sloth Lorenzen
On PAC-Bayesian bounds for random forests. Mach. Learn. 108(8-9): 1503-1522 (2019) - [i2]Stephan Sloth Lorenzen, Ninh Pham:
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. CoRR abs/1908.08656 (2019) - 2018
- [i1]Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
On PAC-Bayesian Bounds for Random Forests. CoRR abs/1810.09746 (2018) - 2016
- [c1]Stephan Sloth Lorenzen
Steiner Tree Heuristic in the Euclidean d-Space Using Bottleneck Distances. SEA 2016: 217-230
Coauthor Index
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