| Mergeable summaries PK Agarwal, G Cormode, Z Huang, JM Phillips, Z Wei, K Yi ACM Transactions on Database Systems (TODS) 38 (4), 1-28, 2013 | 265 | 2013 |
| Outlier robust ICP for minimizing fractional RMSD JM Phillips, R Liu, C Tomasi Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM …, 2007 | 196 | 2007 |
| Frequent directions: Simple and deterministic matrix sketching M Ghashami, E Liberty, JM Phillips, DP Woodruff SIAM Journal on Computing 45 (5), 1762-1792, 2016 | 163 | 2016 |
| Coresets and sketches JM Phillips Handbook of discrete and computational geometry, 1269-1288, 2017 | 158 | 2017 |
| Radio tomographic imaging and tracking of stationary and moving people via kernel distance Y Zhao, N Patwari, JM Phillips, S Venkatasubramanian Proceedings of the 12th international conference on Information processing …, 2013 | 158 | 2013 |
| Attenuating bias in word vectors S Dev, J Phillips The 22nd international conference on artificial intelligence and statistics …, 2019 | 137 | 2019 |
| On measuring and mitigating biased inferences of word embeddings S Dev, T Li, JM Phillips, V Srikumar Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7659-7666, 2020 | 130 | 2020 |
| Distributed trajectory similarity search D Xie, F Li, JM Phillips Proceedings of the VLDB Endowment 10 (11), 1478-1489, 2017 | 127 | 2017 |
| Simulated knot tying J Phillips, A Ladd, LE Kavraki Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002 | 113 | 2002 |
| Lower bounds for number-in-hand multiparty communication complexity, made easy JM Phillips, E Verbin, Q Zhang SIAM Journal on Computing 45 (1), 174-196, 2016 | 111* | 2016 |
| Nearest-neighbor searching under uncertainty II PK Agarwal, B Aronov, S Har-Peled, JM Phillips, K Yi, W Zhang ACM Transactions on Algorithms (TALG) 13 (1), 1-25, 2016 | 106 | 2016 |
| Guided expansive spaces trees: A search strategy for motion-and cost-constrained state spaces JM Phillips, N Bedrossian, LE Kavraki IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 106 | 2004 |
| A gentle introduction to the kernel distance JM Phillips, S Venkatasubramanian arXiv preprint arXiv:1103.1625, 2011 | 104 | 2011 |
| Spatial scan statistics: approximations and performance study D Agarwal, A McGregor, JM Phillips, S Venkatasubramanian, Z Zhu Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 103 | 2006 |
| Harms of gender exclusivity and challenges in non-binary representation in language technologies S Dev, M Monajatipoor, A Ovalle, A Subramonian, JM Phillips, KW Chang arXiv preprint arXiv:2108.12084, 2021 | 99 | 2021 |
| Relative errors for deterministic low-rank matrix approximations M Ghashami, JM Phillips Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014 | 90 | 2014 |
| Quality and efficiency for kernel density estimates in large data Y Zheng, J Jestes, JM Phillips, F Li Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 85 | 2013 |
| Shape fitting on point sets with probability distributions M Löffler, JM Phillips European symposium on algorithms, 313-324, 2009 | 82 | 2009 |
| Comparing distributions and shapes using the kernel distance S Joshi, RV Kommaraju, JM Phillips, S Venkatasubramanian 27th Annual Symposium on Computational Geometry, 2010 | 77 | 2010 |
| Near-optimal coresets of kernel density estimates JM Phillips, WM Tai Discrete & Computational Geometry 63, 867-887, 2020 | 65 | 2020 |
Suresh VenkatasubramanianBrown UniversityVerified email at brown.edu
