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ORCIDCJ Carey
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- affiliation: Google, New York, NY, USA
- affiliation (former): University of Massachusetts, Amherst, MA, USA
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Journal Articles
- 2023
[j2]CJ Carey
, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong:
Measuring Re-identification Risk. Proc. ACM Manag. Data 1(2): 149:1-149:26 (2023)- 2020
- [j1]William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet:
metric-learn: Metric Learning Algorithms in Python. J. Mach. Learn. Res. 21: 138:1-138:6 (2020)
Conference and Workshop Papers
- 2022
- [c5]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Learning. NeurIPS 2022 - 2021
- [c4]Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang:
Clustering for Private Interest-based Advertising. KDD 2021: 2802-2810 - 2015
- [c3]Thomas Boucher, CJ Carey, Sridhar Mahadevan, Melinda Darby Dyar:
Aligning Mixed Manifolds. AAAI 2015: 2511-2517 - 2014
- [c2]CJ Carey, Sridhar Mahadevan:
Manifold Spanning Graphs. AAAI 2014: 1708-1714 - 2012
- [c1]Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan:
Manifold Warping: Manifold Alignment over Time. AAAI 2012: 1155-1161
Informal and Other Publications
- 2023
- [i4]CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong:
Measuring Re-identification Risk. CoRR abs/2304.07210 (2023) - 2022
- [i3]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Graph Learning. CoRR abs/2212.02635 (2022) - 2019
- [i2]Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors:
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. CoRR abs/1907.10121 (2019) - [i1]William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet:
metric-learn: Metric Learning Algorithms in Python. CoRR abs/1908.04710 (2019)
Coauthor Index
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