Claire Monteleoni
15 papers · 2007–2026 · 8 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (36) ๐ Academic Marathon ยท Full ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Gold ๐ฃ Hot Topic Early Bird
๐ฑ
Topic Pioneer
๐
Keyword Champion
๐
Keyword Trendsetter Combo
(4)
๐งญ
Keyword Pioneer
๐
Trend Setter
๐
Renaissance Researcher
(7)
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(79)
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(8)
Learning Types ยท Machine Learning
(8)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory
(6)
Deep Learning
(4)
Learning Types ยท Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Data Science & Analytics
(2)
Reinforcement Learning
(2)
Applications
(2)
Core AI
(2)
Computer Science
(1)
Keywords
spectral clustering
(3)
unsupervised learning
(2)
privacy-preserving learning
(2)
self-supervised learning
(2)
k-means clustering
(2)
online clustering
(2)
lloyd's algorithm
(2)
regret bound
(2)
differential privacy
(2)
active learning
(2)
multi-agent reinforcement learning
(1)
domain adaptation
(1)
logistic regression
(1)
representation learning
(1)
unsupervised feature learning
(1)
regularization
(1)
global convergence
(1)
supervised learning
(1)
non-convex optimization
(1)
sequential decision making
(1)
Papers
A Unified Framework for Locality in Scalable MARL
L4DC 2026
Flickering Multi-Armed Bandits
L4DC 2026
Deep Clustering via Probabilistic Ratio-Cut Optimization
AISTATS 2025
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
WACV 2025
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Cooperative Online Learning: Keeping your Neighbors Updated
ALT 2020
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means
IJCAI 2017
Convergence Rate of Stochastic k-means
AISTATS 2017
On Lloydโs Algorithm: New Theoretical Insights for Clustering in Practice
AISTATS 2016
Online Clustering with Experts
AISTATS 2012
Differentially Private Empirical Risk Minimization
JMLR 2011
Analysis of Perceptron-Based Active Learning
JMLR 2009
Streaming k-means approximation
NeurIPS 2009
Privacy-preserving logistic regression
NeurIPS 2008
A general agnostic active learning algorithm
NeurIPS 2007