Documents

Export 10 results:
Author Title [ Type(Desc)] Year
Filters: Author is Ping Li  [Clear All Filters]
Book Chapter
Li, Ping, and Cun-Hui Zhang. "Entropy Estimations Using Correlated Symmetric Stable Random Projections." In Advances in Neural Information Processing Systems 25, edited by P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou and K.Q. Weinberger, 3185-3193., 2012, available at http://books.nips.cc/papers/files/nips25/NIPS2012_1456.pdf.
Li, Ping, Art Owen, and Cun-Hui Zhang. "One Permutation Hashing." In Advances in Neural Information Processing Systems 25, edited by P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou and K.Q. Weinberger, 3122-3130., 2012, available at http://books.nips.cc/papers/files/nips25/NIPS2012_1436.pdf.
Conference Paper
Li, Ping, Anshumali Shrivastava, and Arnd Christian König. "b-Bit Minwise Hashing in Practice." In Internetware'13., 2013, available at http://www.nudt.edu.cn/internetware2013/.
Shrivastava, Anshumali, and Ping Li. "Beyond Pairwise: Provably Fast Algorithms for Approximate K-Way Similarity Search." In Neural Information Processing Systems (NIPS)., 2013.
Li, Ping, and Cun-Hui Zhang. "Exact Sparse Recovery with L0 Projections." In 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining., 2013.
Sun, Xu, Anshumali Shrivastava, and Ping Li. "Fast Multi-task Learning for Query Spelling Correction." In The 21$^{st}$ ACM International Conference on Information and Knowledge Management (CIKM 2012), 285-294., 2012, available at http://dx.doi.org/10.1145/2396761.2396800.
Shrivastava, Anshumali, and Ping Li. "Fast Near Neighbor Search in High-Dimensional Binary Data." In The European Conference on Machine Learning (ECML 2012)., 2012.
Li, Ping, Anshumali Shrivastava, and Arnd Christian König. "GPU-based minwise hashing: GPU-based minwise hashing." In Proceedings of the 21st World Wide Web Conference (WWW 2012) (Companion Volume), 565-566., 2012, available at http://doi.acm.org/10.1145/2187980.2188129.
Sun, Xu, Anshumali Shrivastava, and Ping Li. "Query spelling correction using multi-task learning." In Proceedings of the 21st World Wide Web Conference (WWW 2012)(Companion Volume), 613-614., 2012, available at http://doi.acm.org/10.1145/2187980.2188153.
Journal Article
Srivastava, Radhendushka, Ping Li, and Debasis Sengupta. "Testing for Membership to the IFRA and the NBU Classes of Distributions." Journal of Machine Learning Research - Proceedings Track for the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012) 22 (2012): 1099-1107, available at http://jmlr.csail.mit.edu/proceedings/papers/v22/srivastava12.html.