Follow
Shrinu Kushagra
Shrinu Kushagra
Google - DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Clustering with same-cluster queries
H Ashtiani, S Kushagra, S Ben-David
Advances in neural information processing systems 29, 2016
852016
Multi-pivot quicksort: Theory and experiments
S Kushagra, A López-Ortiz, A Qiao, JI Munro
2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and …, 2014
522014
Semi-supervised clustering for de-duplication
S Kushagra, S Ben-David, I Ilyas
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
Finding meaningful cluster structure amidst background noise
S Kushagra, S Samadi, S Ben-David
International Conference on Algorithmic Learning Theory, 339-354, 2016
112016
A semi-supervised framework of clustering selection for de-duplication
S Kushagra, H Saxena, IF Ilyas, S Ben-David
2019 IEEE 35th International Conference on Data Engineering (ICDE), 208-219, 2019
102019
Record fusion: A learning approach
A Heidari, G Michalopoulos, S Kushagra, IF Ilyas, T Rekatsinas
arXiv preprint arXiv:2006.10208, 2020
72020
Better together: resnet-50 accuracy with 13 x fewerparameters and at speed
U Nath, S Kushagra
arXiv preprint arXiv:2006.05624, 2020
62020
Provably noise-robust, regularised -means clustering
S Kushagra, Y Yu, S Ben-David
arXiv preprint arXiv:1711.11247, 2017
52017
Sensory updates to combat path-integration drift
X Ji, S Kushagra, J Orchard
Canadian Conference on Artificial Intelligence, 263-270, 2013
32013
Information preserving dimensionality reduction
S Kushagra, S Ben-David
International Conference on Algorithmic Learning Theory, 239-253, 2015
22015
On sampling from data with duplicate records
A Heidari, S Kushagra, IF Ilyas
arXiv preprint arXiv:2008.10549, 2020
12020
Three-dimensional matching is NP-hard
S Kushagra
arXiv preprint arXiv:2003.00336, 2020
12020
Theoretical foundations for efficient clustering
S Kushagra
University of Waterloo, 2019
12019
Niceness assumptions for learning algorithms
S Kushagra
University of Waterloo, 2014
12014
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
G Zhou, N Kumar, A Dedieu, M Lázaro-Gredilla, S Kushagra, D George
arXiv preprint arXiv:2202.04110, 2022
2022
Adjoined Networks: A Training Paradigm with Applications to Network Compression
U Nath, S Kushagra, Y Yang
arXiv preprint arXiv:2006.05624, 2020
2020
Supplementary: Semi-supervised clustering for de-duplication
S Kushagra, S Ben-David, IF Ilyas
The system can't perform the operation now. Try again later.
Articles 1–17