Anshumali Shrivastava
TitleCited byYear
Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS)
A Shrivastava, P Li
Advances in Neural Information Processing Systems, 2321-2329, 2014
2122014
Hashing algorithms for large-scale learning
P Li, A Shrivastava, JL Moore, AC König
Advances in neural information processing systems, 2672-2680, 2011
1272011
Densifying one permutation hashing via rotation for fast near neighbor search
A Shrivastava, P Li
International Conference on Machine Learning, 557-565, 2014
712014
In defense of minhash over simhash
A Shrivastava, P Li
Artificial Intelligence and Statistics, 886-894, 2014
592014
Improved asymmetric locality sensitive hashing (ALSH) for maximum inner product search (MIPS)
A Shrivastava, P Li
arXiv preprint arXiv:1410.5410, 2014
572014
Scalable and sustainable deep learning via randomized hashing
R Spring, A Shrivastava
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
542017
Asymmetric minwise hashing for indexing binary inner products and set containment
A Shrivastava, P Li
Proceedings of the 24th International Conference on World Wide Web, 981-991, 2015
492015
Coding for random projections
P Li, M Mitzenmacher, A Shrivastava
International Conference on Machine Learning, 676-684, 2014
31*2014
Improved Densification of One Permutation Hashing
A Shrivastava, P Li
Uncertainty In Artificial Intelligence 2014, 2014
292014
Fast near neighbor search in high-dimensional binary data
A Shrivastava, P Li
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
292012
Simple and efficient weighted minwise hashing
A Shrivastava
Advances in Neural Information Processing Systems, 1498-1506, 2016
26*2016
Optimal densification for fast and accurate minwise hashing
A Shrivastava
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
192017
Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams
A Shrivastava, AC Konig, M Bilenko
Proceedings of the 2016 International Conference on Management of Data, 1417 …, 2016
192016
A new unbiased and efficient class of lsh-based samplers and estimators for partition function computation in log-linear models
R Spring, A Shrivastava
arXiv preprint arXiv:1703.05160, 2017
182017
Gpu-based minwise hashing: Gpu-based minwise hashing
P Li, A Shrivastava, CA Konig
Proceedings of the 21st International Conference on World Wide Web, 565-566, 2012
162012
A new space for comparing graphs
A Shrivastava, P Li
Proceedings of the 2014 IEEE/ACM International Conference on Advances in …, 2014
152014
SSH (Sketch, Shingle, & Hash) for indexing massive-scale time series
C Luo, A Shrivastava
NIPS 2016 Time Series Workshop, 38-58, 2017
142017
Unique entity estimation with application to the Syrian conflict
B Chen, A Shrivastava, RC Steorts
The Annals of Applied Statistics 12 (2), 1039-1067, 2018
132018
Beyond Pairwise: Provably Fast Algorithms for Approximate -Way Similarity Search
A Shrivastava, P Li
Advances in Neural Information Processing Systems, 791-799, 2013
122013
Randomized algorithms accelerated over cpu-gpu for ultra-high dimensional similarity search
Y Wang, A Shrivastava, J Wang, J Ryu
Proceedings of the 2018 International Conference on Management of Data, 889-903, 2018
10*2018
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Articles 1–20