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Poster
Convergence of Laplacian Eigenmaps
Mikhail Belkin · Partha Niyogi
Author Information
Mikhail Belkin (Ohio State University)
Partha Niyogi (University of Chicago)
More from the Same Authors
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2021 Poster: Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures »
Yuan Cao · Quanquan Gu · Mikhail Belkin -
2021 Poster: Multiple Descent: Design Your Own Generalization Curve »
Lin Chen · Yifei Min · Mikhail Belkin · Amin Karbasi -
2018 Poster: Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate »
Mikhail Belkin · Daniel Hsu · Partha P Mitra -
2017 Poster: Diving into the shallows: a computational perspective on large-scale shallow learning »
SIYUAN MA · Mikhail Belkin -
2017 Spotlight: Diving into the shallows: a computational perspective on large-scale shallow learning »
SIYUAN MA · Mikhail Belkin -
2016 Poster: Graphons, mergeons, and so on! »
Justin Eldridge · Mikhail Belkin · Yusu Wang -
2016 Oral: Graphons, mergeons, and so on! »
Justin Eldridge · Mikhail Belkin · Yusu Wang -
2016 Poster: Clustering with Bregman Divergences: an Asymptotic Analysis »
Chaoyue Liu · Mikhail Belkin -
2015 Poster: A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA »
James R Voss · Mikhail Belkin · Luis Rademacher -
2014 Poster: Learning with Fredholm Kernels »
Qichao Que · Mikhail Belkin · Yusu Wang -
2013 Workshop: Modern Nonparametric Methods in Machine Learning »
Arthur Gretton · Mladen Kolar · Samory Kpotufe · John Lafferty · Han Liu · Bernhard Schölkopf · Alexander Smola · Rob Nowak · Mikhail Belkin · Lorenzo Rosasco · peter bickel · Yue Zhao -
2013 Poster: Inverse Density as an Inverse Problem: the Fredholm Equation Approach »
Qichao Que · Mikhail Belkin -
2013 Poster: Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis »
James R Voss · Luis Rademacher · Mikhail Belkin -
2013 Spotlight: Inverse Density as an Inverse Problem: the Fredholm Equation Approach »
Qichao Que · Mikhail Belkin -
2011 Poster: Data Skeletonization via Reeb Graphs »
Xiaoyin Ge · Issam I Safa · Mikhail Belkin · Yusu Wang -
2009 Poster: Semi-supervised Learning using Sparse Eigenfunction Bases »
Kaushik Sinha · Mikhail Belkin -
2007 Spotlight: The Value of Labeled and Unlabeled Examples when the Model is Imperfect »
Kaushik Sinha · Mikhail Belkin -
2007 Poster: The Value of Labeled and Unlabeled Examples when the Model is Imperfect »
Kaushik Sinha · Mikhail Belkin -
2006 Poster: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts »
Hariharan Narayanan · Mikhail Belkin · Partha Niyogi