Clustering with same-cluster queries H Ashtiani, S Kushagra, S Ben-David
Advances in neural information processing systems 29, 2016
107 2016 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
63 2014 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
17 2019 Semi-supervised clustering for de-duplication S Kushagra, S Ben-David, I Ilyas
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
16 2019 Finding meaningful cluster structure amidst background noise S Kushagra, S Samadi, S Ben-David
Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari …, 2016
12 2016 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
10 * 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
10 2022 Record fusion: A learning approach A Heidari, G Michalopoulos, S Kushagra, IF Ilyas, T Rekatsinas
arXiv preprint arXiv:2006.10208, 2020
10 2020 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
7 2023 Provably noise-robust, regularised S Kushagra, Y Yu, S Ben-David
arXiv preprint arXiv:1711.11247, 2017
6 2017 On sampling from data with duplicate records A Heidari, S Kushagra, IF Ilyas
arXiv preprint arXiv:2008.10549, 2020
4 2020 Sensory updates to combat path-integration drift X Ji, S Kushagra, J Orchard
Advances in Artificial Intelligence: 26th Canadian Conference on Artificial …, 2013
3 2013 Three-dimensional matching is NP-hard S Kushagra
arXiv preprint arXiv:2003.00336, 2020
2 2020 Information preserving dimensionality reduction S Kushagra, S Ben-David
Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015
2 2015 Niceness assumptions for learning algorithms S Kushagra
University of Waterloo, 2014
2 2014 Theoretical foundations for efficient clustering S Kushagra
University of Waterloo, 2019
1 2019 Model Predictive Simulation Using Structured Graphical Models and Transformers X Lou, M Dave, S Kushagra, M Lazaro-Gredilla, K Murphy
arXiv preprint arXiv:2406.19635, 2024
2024 ADJOINED NETWORKS: Atraining PARADIGM WITH U Nath, S Kushagra, Y Yang
Shai Ben-DavidUniverity of Waterloo, CanadaVerifisert e-postadresse på uwaterloo.ca