Yoav Freund
10 papers · 2003–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Ultra π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π§
Keyword Pioneer
π
Conference Pioneer
ποΈ
Keyword Collector
(62)
β
The Questioner
π
Century Club Β· Bronze
π
Trend Setter
Venues
Top co-authors
Research topics
Keywords
convergence rate
(3)
dimensionality reduction
(2)
semi-supervised learning
(2)
classifier aggregation
(2)
regret bound
(2)
non-convex optimization
(1)
online learning
(1)
stochastic gradient descent
(1)
principal component analysis
(1)
uniform convergence
(1)
transductive learning
(1)
collaborative filtering
(1)
preference learning
(1)
supervised learning
(1)
ensemble learning
(1)
regret minimization
(1)
markov chain monte carlo
(1)
manifold learning
(1)
incremental learning
(1)
composite optimization
(1)
Papers
Towards Explainable Automated Neuroanatomy
MICCAI 2024
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint
JMLR 2022
An adaptive nearest neighbor rule for classification
NeurIPS 2019
Open Problem: Second order regret bounds based on scaling time
COLT 2016
Optimally Combining Classifiers Using Unlabeled Data
COLT 2015
Scalable Semi-Supervised Aggregation of Classifiers
NeurIPS 2015
The Fast Convergence of Incremental PCA
NeurIPS 2013
A Parameter-free Hedging Algorithm
NeurIPS 2009
Learning the structure of manifolds using random projections
NeurIPS 2007
An Efficient Boosting Algorithm for Combining Preferences
JMLR 2003