Christopher Hagedorn

Orcid: 0000-0002-9485-3164

Affiliations:
  • Hasso Plattner Institute, Potsdam, Germany


According to our database1, Christopher Hagedorn authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Parallel execution of causal structure learning on graphics processing units.
PhD thesis, 2023

A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning.
J. Intell. Manuf., 2022

GPU Acceleration for Information-theoretic Constraint-based Causal Discovery.
Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

GPUCSL: GPU-Based Library for Causal Structure Learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung.
Proceedings of the Software Engineering 2021 Satellite Events, Braunschweig/Virtual, Germany, February 22, 2021

GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Constraint-Based Causal Structure Learning in Multi-GPU Environments.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

MPCSL - A Modular Pipeline for Causal Structure Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data.
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019

Out-of-Core GPU-Accelerated Causal Structure Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Workload-Driven Data Placement for GPU-Accelerated Database Management Systems.
Proceedings of the Datenbanksysteme für Business, 2019

2018
Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

A case for hardware-supported sub-cache line accesses.
Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018


  Loading...