CJ Carey

12 papers A* 4A 1Journal 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality.
CoRR
Filipe Miguel Gonçalves de Almeida, CJ Carey, Hendrik Fichtenberger, Jonathan Halcrow, Silvio Lattanzi, André Linhares, Tao Meng, Ashkan Norouzi-Fard, Nikos Parotsidis, Bryan Perozzi, David Simcha
2025 A conf
Streaming Trends: A Low-Latency Platform for Dynamic Video Grouping and Trending Corpora Building.
RecSys
Yang Gu, Caroline Zhou, Qiao Zhang, Scott Wang, Yongzhe Wang, Li Zhang, Nikos Parotsidis, CJ Carey, Ashkan Fard, Mingyan Gao, Yaping Zhang, Sourabh Bansod
2023 J jnl
Measuring Re-identification Risk.
CoRR
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
Measuring Re-identification Risk.
Proc. ACM Manag. Data
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2022 J jnl
Stars: Tera-Scale Graph Building for Clustering and Graph Learning.
CoRR
CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong
2022 A* conf
Stars: Tera-Scale Graph Building for Clustering and Learning.
NeurIPS
CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong
2021 A* conf
Clustering for Private Interest-based Advertising.
KDD
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
2020 J jnl
metric-learn: Metric Learning Algorithms in Python.
J. Mach. Learn. Res.
William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet
2019 J jnl
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.
CoRR
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
2019 J jnl
metric-learn: Metric Learning Algorithms in Python.
CoRR
William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet
2015 A* conf
Aligning Mixed Manifolds.
AAAI
Thomas Boucher, CJ Carey, Sridhar Mahadevan, Melinda Darby Dyar
2014 A* conf
Manifold Spanning Graphs.
AAAI
CJ Carey, Sridhar Mahadevan