Monteleoni, Claire

22 publications

AISTATS 2025 Deep Clustering via Probabilistic Ratio-Cut Optimization Ayoub Ghriss, Claire Monteleoni

WACV 2025 MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations Reza Akbarian Bafghi, Nidhin Harilal, Maziar Raissi, Claire Monteleoni

NeurIPSW 2024 Influence Estimation in Self-Supervised Learning Nidhin Harilal, Reza Akbarian Bafghi, Amit Kiran Rege, Maziar Raissi, Claire Monteleoni

CVPRW 2024 Parameter Efficient Fine-Tuning of Self-Supervised ViTs Without Catastrophic Forgetting Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi

ICML 2024 Position: Application-Driven Innovation in Machine Learning David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

ALT 2020 Cooperative Online Learning: Keeping Your Neighbors Updated Nicolò Cesa-Bianchi, Tommaso Cesari, Claire Monteleoni

IJCAI 2017 Beyond the Nystrom Approximation: Speeding up Spectral Clustering Using Uniform Sampling and Weighted Kernel K-Means Mahesh Mohan, Claire Monteleoni

AISTATS 2017 Convergence Rate of Stochastic K-Means Cheng Tang, Claire Monteleoni

AISTATS 2016 On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice Cheng Tang, Claire Monteleoni

ALT 2013 Differentially-Private Learning of Low Dimensional Manifolds Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni

ALT 2013 Fast Spectral Clustering via the Nyström Method Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni

AAAI 2012 Global Climate Model Tracking Using Geospatial Neighborhoods Scott McQuade, Claire Monteleoni

AISTATS 2012 Online Clustering with Experts Anna Choromanska, Claire Monteleoni

JMLR 2011 Differentially Private Empirical Risk Minimization Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate

JMLR 2009 Analysis of Perceptron-Based Active Learning Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni

NeurIPS 2009 Streaming K-Means Approximation Nir Ailon, Ragesh Jaiswal, Claire Monteleoni

NeurIPS 2008 Privacy-Preserving Logistic Regression Kamalika Chaudhuri, Claire Monteleoni

NeurIPS 2007 A General Agnostic Active Learning Algorithm Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni

CVPR 2007 Practical Online Active Learning for Classification Claire Monteleoni, Matti Kääriäinen

COLT 2006 Efficient Algorithms for General Active Learning Claire Monteleoni

COLT 2005 Analysis of Perceptron-Based Active Learning Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni

NeurIPS 2003 Online Learning of Non-Stationary Sequences Claire Monteleoni, Tommi S. Jaakkola