Michael W. Mahoney
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Michael W. Mahoney is a person.
References
- https://scholar.google.com/citations?user=QXyvv94AAAAJ&hl=en
- http://cs.stanford.edu/people/mmahoney/
2024
- (Kim et al., 2023) ⇒ Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, and Kurt Keutzer. (2023). "Speculative Decoding with Big Little Decoder." In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
- (Lee, Wattawong et al., 2024) ⇒ Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipali, Michael W. Mahoney, Kurt Keutzer, and Amir Gholami. (2024). “LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.”
2021
- (Martin & Mahoney, 2021) ⇒ Charles H. Martin, and Michael W. Mahoney. (2021). “Implicit Self-regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning.” In: Journal of Machine Learning Research, 22(165).
2011
- (Mahoney, 2011) ⇒ Michael W. Mahoney. (2011). “Randomized Algorithms for Matrices and Data.” Now Publishers Inc.. ISBN:1601985061, 9781601985064
2010
- (Mahoney, 2010) ⇒ Michael Mahoney. (2010). “[Geometric Tools for Graph Mining of Large Social and Information Networks]." Tutorial at the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010).
2008a
- (Leskovec et al., 2008) ⇒ Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, and Michael W. Mahoney. (2008). “Statistical Properties of Community Structure in Large Social and Information Networks.” In: Proceedings of the 17th International Conference on World Wide Web. doi:10.1145/1367497.1367591
2008b
- (Boutsidis et al., 2008) ⇒ Christos Boutsidis, Michael W. Mahoney, and Petros Drineas. (2008). “[Unsupervised Feature Selection for Principal Components Analysis].” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1401903