Anshumali Shrivastava
Title
Cited by
Cited by
Year
Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS)
A Shrivastava, P Li
arXiv preprint arXiv:1405.5869, 2014
3232014
Hashing algorithms for large-scale learning
P Li, A Shrivastava, J Moore, AC Konig
arXiv preprint arXiv:1106.0967, 2011
1612011
Densifying one permutation hashing via rotation for fast near neighbor search
A Shrivastava, P Li
International Conference on Machine Learning, 557-565, 2014
952014
Scalable and sustainable deep learning via randomized hashing
R Spring, A Shrivastava
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
922017
In defense of minhash over simhash
A Shrivastava, P Li
Artificial Intelligence and Statistics, 886-894, 2014
852014
Improved asymmetric locality sensitive hashing (ALSH) for maximum inner product search (MIPS)
A Shrivastava, P Li
arXiv preprint arXiv:1410.5410, 2014
802014
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
652015
Improved Densification of One Permutation Hashing
A Shrivastava, P Li
Uncertainty In Artificial Intelligence 2014, 2014
452014
Simple and efficient weighted minwise hashing
A Shrivastava
Advances in Neural Information Processing Systems, 1498-1506, 2016
41*2016
Optimal densification for fast and accurate minwise hashing
A Shrivastava
International Conference on Machine Learning, 3154-3163, 2017
392017
Coding for random projections
P Li, M Mitzenmacher, A Shrivastava
International Conference on Machine Learning, 676-684, 2014
37*2014
Fast near neighbor search in high-dimensional binary data
A Shrivastava, P Li
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
362012
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
342016
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
282017
A new space for comparing graphs
A Shrivastava, P Li
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
242014
Arrays of (locality-sensitive) count estimators (ace) anomaly detection on the edge
C Luo, A Shrivastava
Proceedings of the 2018 World Wide Web Conference, 1439-1448, 2018
23*2018
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
22*2018
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
222012
Mission: Ultra large-scale feature selection using count-sketches
A Aghazadeh, R Spring, D Lejeune, G Dasarathy, A Shrivastava
International Conference on Machine Learning, 80-88, 2018
202018
SSH (sketch, shingle, & hash) for indexing massive-scale time series
C Luo, A Shrivastava
NIPS 2016 Time Series Workshop, 38-58, 2017
202017
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