Folgen
Shrinu Kushagra
Shrinu Kushagra
Google DeepMind
Bestätigte E-Mail-Adresse bei deepmind.com
Titel
Zitiert von
Zitiert von
Jahr
Clustering with same-cluster queries
H Ashtiani, S Kushagra, S Ben-David
Advances in neural information processing systems 29, 2016
992016
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
602014
Semi-supervised clustering for de-duplication
S Kushagra, S Ben-David, I Ilyas
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
162019
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
162019
Finding meaningful cluster structure amidst background noise
S Kushagra, S Samadi, S Ben-David
Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari …, 2016
122016
Record fusion: A learning approach
A Heidari, G Michalopoulos, S Kushagra, IF Ilyas, T Rekatsinas
arXiv preprint arXiv:2006.10208, 2020
102020
Adjoined Networks: A Training Paradigm with Applications to Network Compression
U Nath, S Kushagra, Y Yang
AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for …, 2022
9*2022
Pgmax: Factor graphs for discrete probabilistic graphical models and loopy belief propagation in jax
G Zhou, A Dedieu, N Kumar, W Lehrach, M Lázaro-Gredilla, S Kushagra, ...
arXiv preprint arXiv:2202.04110, 2022
82022
Graph schemas as abstractions for transfer learning, inference, and planning
JS Guntupalli, RV Raju, S Kushagra, C Wendelken, D Sawyer, ...
arXiv preprint arXiv:2302.07350, 2023
62023
Provably noise-robust, regularised -means clustering
S Kushagra, Y Yu, S Ben-David
arXiv preprint arXiv:1711.11247, 2017
62017
Sensory updates to combat path-integration drift
X Ji, S Kushagra, J Orchard
Advances in Artificial Intelligence: 26th Canadian Conference on Artificial …, 2013
32013
Three-dimensional matching is NP-hard
S Kushagra
arXiv preprint arXiv:2003.00336, 2020
22020
Information preserving dimensionality reduction
S Kushagra, S Ben-David
Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015
22015
Niceness assumptions for learning algorithms
S Kushagra
University of Waterloo, 2014
22014
On sampling from data with duplicate records
A Heidari, S Kushagra, IF Ilyas
arXiv preprint arXiv:2008.10549, 2020
12020
Theoretical foundations for efficient clustering
S Kushagra
University of Waterloo, 2019
12019
ADJOINED NETWORKS: Atraining PARADIGM WITH
U Nath, S Kushagra, Y Yang
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–17