Andreas Krause
Jump to navigation
Jump to search
Andreas Krause is a person.
References
- Personal Homepage: http://las.ethz.ch/krausea.html
- Google Scholar Author Page: http://scholar.google.com/citations?user=eDHv58AAAAAJ
2014
- (Badanidiyuru et al., 2014) ⇒ Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, and Andreas Krause. (2014). “Streaming Submodular Maximization: Massive Data Summarization on the Fly.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623637
- (Desautels et al., 2014) ⇒ Thomas Desautels, Andreas Krause, and Joel W. Burdick. (2014). “Parallelizing Exploration-exploitation Tradeoffs in Gaussian Process Bandit Optimization.” In: The Journal of Machine Learning Research, 15(1).
2013
- (Krause & Guestrin, 2013) ⇒ Andreas Krause, and Carlos Guestrin. (2013). “Submodularity in Machine Learning: New Directions." Tutorial at ICML 2013.
2008
- (Krause & Guestrin, 2008) ⇒ Andreas Krause, and Carlos Guestrin. (2008). “Beyond Convexity - Submodularity in Machine Learning." Tutorial at ICML 2008.
2007
- (Leskovec et al., 2007a) ⇒ Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, and Natalie Glance. (2007). “Cost-effective Outbreak Detection in Networks.” In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge discovery and data mining. ISBN:978-1-59593-609-7 doi:10.1145/1281192.1281239
2010
- (Gomez Rodriguez et al., 2010) ⇒ Manuel Gomez Rodriguez, Jure Leskovec, and Andreas Krause. (2010). “Inferring Networks of Diffusion and Influence.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835933
2007
- (Leskovec et al., 2007) ⇒ Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, and Natalie Glance. (2007). “Cost-effective Outbreak Detection in Networks.” In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2007) doi:10.1145/1281192.1281239