Information Extraction Research and Applications: Current Progress and Future Directions. - Andrew Kehler; Jerry R. Hobbs; Douglas E. Appelt; John Bear; Matthew Caywood; David J. Israel; Megumi Kameyama; David L. Martin 001; Claire Monteleoni (TIPSTER, 1998)

Resource Allocation Using Sequential Auctions. - Craig Boutilier; Moisés Goldszmidt; Claire Monteleoni; Bikash Sabata (Agent Mediated Electronic Commerce (IJCAI Workshop), 1999)

Online Learning of Non-stationary Sequences. - Claire Monteleoni; Tommi S. Jaakkola (NIPS, 2003)

Efficient Algorithms for General Active Learning. - Claire Monteleoni (COLT, 2006)

Learning with online constraints: shifting concepts and active learning. - Claire Monteleoni (2006)

Practical Online Active Learning for Classification. - Claire Monteleoni; Matti Kääriäinen (CVPR, 2007)

A general agnostic active learning algorithm. - Sanjoy Dasgupta; Daniel J. Hsu; Claire Monteleoni (NIPS, 2007)

Privacy-preserving logistic regression. - Kamalika Chaudhuri; Claire Monteleoni (NIPS, 2008)

Streaming k-means approximation. - Nir Ailon; Ragesh Jaiswal; Claire Monteleoni (NIPS, 2009)

Differentially Private Support Vector Machines - Anand D. Sarwate; Kamalika Chaudhuri; Claire Monteleoni (CoRR, 2009)

Analysis of Perceptron-Based Active Learning. - Sanjoy Dasgupta; Adam Tauman Kalai; Claire Monteleoni (J. Mach. Learn. Res., 2009)

Tracking Climate Models. - Claire Monteleoni; Gavin A. Schmidt; Shailesh Saroha (CIDU, 2010)

Differentially Private Empirical Risk Minimization. - Kamalika Chaudhuri; Claire Monteleoni; Anand D. Sarwate (J. Mach. Learn. Res., 2011)

Tracking climate models. - Claire Monteleoni; Gavin A. Schmidt; Shailesh Saroha; Eva Asplund (Stat. Anal. Data Min., 2011)

Global Climate Model Tracking Using Geospatial Neighborhoods. - Scott McQuade; Claire Monteleoni (AAAI, 2012)

Online Clustering with Experts. - Anna Choromanska; Claire Monteleoni (ICML On-line Trading of Exploration and Exploitation, 2012)

Climate Prediction via Matrix Completion. - Mahsa Ghafarianzadeh; Claire Monteleoni (AAAI (Late-Breaking Developments), 2013)

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

A Semi-Supervised Learning Approach to Differential Privacy. - Geetha Jagannathan; Claire Monteleoni; Krishnan Pillaipakkamnatt (ICDM Workshops, 2013)

Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning. - Claire Monteleoni; Gavin A. Schmidt; Scott McQuade (Comput. Sci. Eng., 2013)

Environment selection and hierarchical place recognition. - Mahesh Mohan; Dorian Gálvez-López; Claire Monteleoni; Gabe Sibley (ICRA, 2015)

Can Topic Modeling Shed Light on Climate Extremes? - Cheng Tang; Claire Monteleoni (Comput. Sci. Eng., 2015)

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

Online Learning of Volatility from Multiple Option Term Lengths. - Scott McQuade; Claire Monteleoni (DSMM@SIGMOD, 2016)

Differentially-private learning of low dimensional manifolds. - Anna Choromanska; Krzysztof Choromanski; Geetha Jagannathan; Claire Monteleoni (Theor. Comput. Sci., 2016)

Convergence Rate of Stochastic k-means. - Cheng Tang; Claire Monteleoni (AISTATS, 2017)

Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means. - Mahesh Mohan; Claire Monteleoni (IJCAI, 2017)

Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. - Mahesh Mohan; Claire Monteleoni (IJCNN, 2017)

Research Challenges in Financial Data Modeling and Analysis. - Lewis Alexander; Sanjiv R. Das; Zachary G. Ives; H. V. Jagadish; Claire Monteleoni (Big Data, 2017)

Evaluating the distribution learning capabilities of GANs. - Amit Rege; Claire Monteleoni (CoRR, 2019)

Cooperative Online Learning: Keeping your Neighbors Updated. - Nicolò Cesa-Bianchi; Tommaso Cesari; Claire Monteleoni (ALT, 2020)

ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. - Brian Groenke; Luke Madaus; Claire Monteleoni (CI, 2020)

CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon. - Moumita Saha; Ravi S. Nanjundiah; Claire Monteleoni (CI, 2020)

Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery. - Saumya Sinha; Sophie Giffard-Roisin; Fatima Karbou; Michael Deschatres; Anna Karas; Nicolas Eckert; Cécile Coléou; Claire Monteleoni (CI, 2020)

Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. - Sophie Giffard-Roisin; Mo Yang; Guillaume Charpiat; Christina Kumler-Bonfanti; Balázs Kégl; Claire Monteleoni (Frontiers Big Data, 2020)

Computing Research for the Climate Crisis. - Nadya Bliss; Elizabeth Bradley; Claire Monteleoni (CoRR, 2021)

Reflections from the Workshop on AI-Assisted Decision Making for Conservation. - Lily Xu; Esther Rolf; Sara Beery; Joseph R. Bennett; Tanya Y. Berger-Wolf; Tanya Birch; Elizabeth Bondi-Kelly; Justin Brashares; Melissa S. Chapman; Anthony Corso 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles. - Saumya Sinha; John Fasullo; Robert Steven Nerem; Claire Monteleoni (CoRR, 2023)

STint: Self-supervised Temporal Interpolation for Geospatial Data. - Nidhin Harilal; Bri-Mathias S. Hodge; Aneesh Subramanian; Claire Monteleoni (CoRR, 2023)

Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data. - Saumya Sinha; John Fasullo; Robert Steven Nerem; Claire Monteleoni (CoRR, 2023)

Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting. - Reza Akbarian Bafghi; Nidhin Harilal; Claire Monteleoni; Maziar Raissi (CVPR Workshops, 2024)

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

Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (CoRR, 2024)

ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution. - Guillaume Couairon; Christian Lessig; Anastase Alexandre Charantonis; Claire Monteleoni (CoRR, 2024)

Mixing Natural and Synthetic Images for Robust Self-Supervised Representations. - Reza Akbarian Bafghi; Nidhin Harilal; Claire Monteleoni; Maziar Raissi (CoRR, 2024)

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting. - Guillaume Couairon; Renu Singh; Anastase Alexandre Charantonis; Christian Lessig; Claire Monteleoni (CoRR, 2024)

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning. - Nidhin Harilal; Amit Rege; Reza Akbarian Bafghi; Maziar Raissi; Claire Monteleoni (CoRR, 2024)

Deep Clustering via Probabilistic Ratio-Cut Optimization. - Ayoub Ghriss; Claire Monteleoni (AISTATS, 2025)

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

Generating ensembles of spatially-coherent in-situ forecasts using flow matching. - David Landry; Claire Monteleoni; Anastase Alexandre Charantonis (CoRR, 2025)