Stephan Sloth Lorenzen

13 papers A* 4B 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Online transfer learning with partial feedback.
Expert Syst. Appl.
Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen
2022 A* conf
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks.
ICLR
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
2021 A* conf
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote.
NeurIPS
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2021 J jnl
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote.
CoRR
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2021 J jnl
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks.
CoRR
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
2021 A* conf
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract).
IJCAI
Stephan Sloth Lorenzen, Ninh Pham
2020 — conf
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search.
ECML/PKDD (1)
Stephan Sloth Lorenzen, Ninh Pham
2020 A* conf
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote.
NeurIPS
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2020 J jnl
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote.
CoRR
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2019 J jnl
On PAC-Bayesian bounds for random forests.
Mach. Learn.
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2019 J jnl
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search.
CoRR
Stephan Sloth Lorenzen, Ninh Pham
2018 J jnl
On PAC-Bayesian Bounds for Random Forests.
CoRR
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2016 B conf
Steiner Tree Heuristic in the Euclidean d-Space Using Bottleneck Distances.
SEA
Stephan Sloth Lorenzen, Pawel Winter