Claire Monteleoni

Orcid: 0000-0002-9488-0517

Affiliations:
  • University of Colorado Boulder, CO, USA
  • George Washington University, DC, USA (2011-2018)


According to our database1, Claire Monteleoni authored at least 41 papers between 1998 and 2024.

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Bibliography

2024
Application-Driven Innovation in Machine Learning.
CoRR, 2024

2023
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data.
CoRR, 2023

STint: Self-supervised Temporal Interpolation for Geospatial Data.
CoRR, 2023

Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles.
CoRR, 2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.
CoRR, 2023

2021
Computing Research for the Climate Crisis.
CoRR, 2021

2020
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.
Frontiers Big Data, 2020

Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

Cooperative Online Learning: Keeping your Neighbors Updated.
Proceedings of the Algorithmic Learning Theory, 2020

2019
Evaluating the distribution learning capabilities of GANs.
CoRR, 2019

2017
Research Challenges in Financial Data Modeling and Analysis.
Big Data, 2017

Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Convergence Rate of Stochastic k-means.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Differentially-private learning of low dimensional manifolds.
Theor. Comput. Sci., 2016

Online Learning of Volatility from Multiple Option Term Lengths.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Can Topic Modeling Shed Light on Climate Extremes?
Comput. Sci. Eng., 2015

Environment selection and hierarchical place recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013
Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning.
Comput. Sci. Eng., 2013

A Semi-Supervised Learning Approach to Differential Privacy.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Fast Spectral Clustering via the Nyström Method.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Climate Prediction via Matrix Completion.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Online Clustering with Experts.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Global Climate Model Tracking Using Geospatial Neighborhoods.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Tracking climate models.
Stat. Anal. Data Min., 2011

Differentially Private Empirical Risk Minimization.
J. Mach. Learn. Res., 2011

2010
Tracking Climate Models.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009
Analysis of Perceptron-Based Active Learning.
J. Mach. Learn. Res., 2009

Differentially Private Support Vector Machines
CoRR, 2009

Streaming k-means approximation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Privacy-preserving logistic regression.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
A general agnostic active learning algorithm.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Practical Online Active Learning for Classification.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Learning with online constraints: shifting concepts and active learning.
PhD thesis, 2006

Efficient Algorithms for General Active Learning.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2003
Online Learning of Non-stationary Sequences.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

1999
Resource Allocation Using Sequential Auctions.
Proceedings of the Agent Mediated Electronic Commerce II, 1999

1998
Information Extraction Research and Applications: Current Progress and Future Directions.
Proceedings of the TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore, 1998


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