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Claire Monteleoni
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Cited by
Year
Differentially private empirical risk minimization.
K Chaudhuri, C Monteleoni, AD Sarwate
Journal of Machine Learning Research 12 (3), 2011
12592011
Privacy-preserving logistic regression
K Chaudhuri, C Monteleoni
Advances in neural information processing systems 21, 2008
6542008
A general agnostic active learning algorithm
S Dasgupta, DJ Hsu, C Monteleoni
Advances in neural information processing systems, 353-360, 2007
3422007
Analysis of Perceptron-Based Active Learning.
S Dasgupta, AT Kalai, A Tauman
Journal of Machine Learning Research 10 (2), 2009
289*2009
Streaming k-means approximation
N Ailon, R Jaiswal, C Monteleoni
Advances in neural information processing systems 22, 2009
2442009
Tracking climate models
C Monteleoni, GA Schmidt, S Saroha, E Asplund
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (4 …, 2011
832011
Online learning of non-stationary sequences
C Monteleoni, T Jaakkola
Advances in Neural Information Processing Systems 16, 2003
732003
Fast spectral clustering via the nyström method
A Choromanska, T Jebara, H Kim, M Mohan, C Monteleoni
International Conference on Algorithmic Learning Theory, 367-381, 2013
622013
Online clustering with experts
A Choromanska, C Monteleoni
Artificial Intelligence and Statistics, 227-235, 2012
542012
Tropical cyclone track forecasting using fused deep learning from aligned reanalysis data
S Giffard-Roisin, M Yang, G Charpiat, C Kumler Bonfanti, B Kégl, ...
Frontiers in big Data, 1, 2020
50*2020
Practical online active learning for classification
C Monteleoni, M Kaariainen
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
422007
Technological innovation, data analytics, and environmental enforcement
RL Glicksman, DL Markell, C Monteleoni
Ecology LQ 44, 41, 2017
352017
Global climate model tracking using geospatial neighborhoods
S McQuade, C Monteleoni
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 335-341, 2012
332012
Climate informatics: accelerating discovering in climate science with machine learning
C Monteleoni, GA Schmidt, S McQuade
Computing in Science & Engineering 15 (5), 32-40, 2013
302013
On Lloyd’s algorithm: new theoretical insights for clustering in practice
C Tang, C Monteleoni
Artificial Intelligence and Statistics, 1280-1289, 2016
272016
Environment selection and hierarchical place recognition
M Mohan, D Gálvez-López, C Monteleoni, G Sibley
2015 IEEE International Conference on Robotics and Automation (ICRA), 5487-5494, 2015
272015
Research challenges in financial data modeling and analysis
L Alexander, SR Das, Z Ives, HV Jagadish, C Monteleoni
Big data 5 (3), 177-188, 2017
242017
A semi-supervised learning approach to differential privacy
G Jagannathan, C Monteleoni, K Pillaipakkamnatt
2013 IEEE 13th International Conference on Data Mining Workshops, 841-848, 2013
232013
Convergence rate of stochastic k-means
C Tang, C Monteleoni
Artificial Intelligence and Statistics, 1495-1503, 2017
202017
Climate informatics
C Monteleoni, GA Schmidt, FJ Alexander, A Niculescu-Mizil, ...
Computational intelligent data analysis for sustainable development, 2013
202013
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