Claire Monteleoni
13 papers · 2007–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7)
π
Cross-Pollinator
(15)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(11)
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π±
Topic Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(63)
π
Century Club
(13)
Conferences
AISTATS (4)
NIPS (3)
JMLR (2)
ALT (1)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
k-means clustering
(2)
privacy-preserving learning
(2)
active learning
(2)
spectral clustering
(2)
differential privacy
(2)
online clustering
(2)
lloyd's algorithm
(2)
unsupervised learning
(2)
non-convex optimization
(1)
logistic regression
(1)
image classification
(1)
perceptron algorithm
(1)
self-supervised learning
(1)
supervised learning
(1)
domain adaptation
(1)
hierarchical clustering
(1)
pac learning
(1)
unsupervised feature learning
(1)
global convergence
(1)
regularization
(1)
Papers
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
WACV 2025
Deep Clustering via Probabilistic Ratio-Cut Optimization
AISTATS 2025
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Cooperative Online Learning: Keeping your Neighbors Updated
ALT 2020
Convergence Rate of Stochastic k-means
AISTATS 2017
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means
IJCAI 2017
On Lloydβs Algorithm: New Theoretical Insights for Clustering in Practice
AISTATS 2016
Online Clustering with Experts
AISTATS 2012
Differentially Private Empirical Risk Minimization
JMLR 2011
Streaming k-means approximation
NIPS 2009
Analysis of Perceptron-Based Active Learning
JMLR 2009
Privacy-preserving logistic regression
NIPS 2008
A general agnostic active learning algorithm
NIPS 2007