| Training ood detectors in their natural habitats J Katz-Samuels, JB Nakhleh, R Nowak, Y Li International Conference on Machine Learning, 10848-10865, 2022 | 58 | 2022 |
| An empirical process approach to the union bound: Practical algorithms for combinatorial and linear bandits J Katz-Samuels, L Jain, Z Karnin, K Jamieson NeurIPS 2020, 2020 | 54 | 2020 |
| High-dimensional experimental design and kernel bandits R Camilleri, J Katz-Samuels, K Jamieson International Conference on Machine Learning, 1227-1237, 2021 | 45 | 2021 |
| The true sample complexity of identifying good arms J Katz-Samuels, K Jamieson International Conference on Artificial Intelligence and Statistics, 1781-1791, 2020 | 40 | 2020 |
| The legislative influence detector: Finding text reuse in state legislation M Burgess, E Giraudy, J Katz-Samuels, J Walsh, D Willis, L Haynes, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 33 | 2016 |
| Similarity search for efficient active learning and search of rare concepts C Coleman, E Chou, J Katz-Samuels, S Culatana, P Bailis, AC Berg, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6402-6410, 2022 | 26 | 2022 |
| Improved Algorithms for Agnostic Pool-based Active Classification J Katz-Samuels, J Zhang, L Jain, K Jamieson ICML 2021, 2021 | 19 | 2021 |
| Decontamination of mutual contamination models J Katz-Samuels, G Blanchard, C Scott Journal of machine learning research 20 (41), 2019 | 19 | 2019 |
| Decontamination of mutual contamination models J Katz-Samuels, G Blanchard, C Scott Journal of machine learning research 20 (41), 2019 | 19 | 2019 |
| Feasible arm identification J Katz-Samuels, C Scott International Conference on Machine Learning, 2535-2543, 2018 | 19 | 2018 |
| Top feasible arm identification J Katz-Samuels, C Scott The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 17 | 2019 |
| Galaxy: Graph-based active learning at the extreme J Zhang, J Katz-Samuels, R Nowak International Conference on Machine Learning, 26223-26238, 2022 | 14 | 2022 |
| Experimental design for regret minimization in linear bandits A Wagenmaker, J Katz-Samuels, K Jamieson International Conference on Artificial Intelligence and Statistics, 3088-3096, 2021 | 14 | 2021 |
| Nonparametric preference completion J Katz-Samuels, C Scott International Conference on Artificial Intelligence and Statistics, 632-641, 2018 | 9 | 2018 |
| Near instance optimal model selection for pure exploration linear bandits Y Zhu, J Katz-Samuels, R Nowak International Conference on Artificial Intelligence and Statistics, 6735-6769, 2022 | 6 | 2022 |
| A mutual contamination analysis of mixed membership and partial label models J Katz-Samuels, C Scott arXiv preprint arXiv:1602.06235, 2016 | 4 | 2016 |
| Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization D Zhang, J Katz-Samuels, MAT Figueiredo, L Balzano 2018 IEEE Statistical Signal Processing Workshop (SSP), 65-69, 2018 | 2 | 2018 |
| Provable Out-of-Distribution Generalization in Hypersphere H Bai, Y Ming, J Katz-Samuels, Y Li The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| Any-m feasible arm identification A Bagherjeiran, J Katz-Samuels | 1 | 2019 |
| HYPO: Hyperspherical Out-of-Distribution Generalization H Bai, Y Ming, J Katz-Samuels, Y Li arXiv preprint arXiv:2402.07785, 2024 | | 2024 |
Kevin JamiesonAssociate Professor, University of WashingtonVerified email at cs.washington.edu
