| 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 | 8 | 2023 |
| Provably noise-robust, regularised -means clustering 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, CanadaPreverjeni e-poštni naslov na uwaterloo.ca
