CS 5/579, Winter 2020
February 10/12 / Week 6
Parallel Math & ML,
Monday: Distributed Math & ML, Part 2
Readings:
- “Stochastic Gradient Boosted Decision Trees”, Jerry Le et. al., Proc. ACM Conference on Information and Knowledge Management (CIKM), no. 4, pg. 2061-2064, 2009.
- “Distributed matrix factorization with mapreduce using a series of broadcast-joins.” Schelter, Sebastian, Christoph Boden, Martin Schenck, Alexander Alexandrov, and Volker Markl. In Proceedings of the 7th ACM conference on Recommender systems, pp. 281-284. ACM, 2013.
Wednesday: Collaborative Filtering & Topic Modeling
Readings
- Schelter, Sebastian, Christoph Boden, and Volker Markl. “Scalable similarity-based neighborhood methods with mapreduce.” In Proceedings of the sixth ACM conference on Recommender systems, pp. 163-170. ACM, 2012.
- “Asynchronous Distributed Learning of Topic Models”, Arthur Asuncion et. al., Proc. Neural Information Processing Systems (NIPS), pg. 81-88, 2008.
Suggested:
- “Distributed Inference for Latent Dirichlet Allocation”, David Newman et. al., Proc Neural Information Processing Systems (NIPS), vol. 20, pg. 1081-1088, 2007.