Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: The Value of Labeled and Unlabeled Examples when the Model is Imperfect »
  Tue. Dec 4th 04:10 -- 04:25 AM Room

More from the Same Authors

• 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
• 2012 Poster: Near-optimal Differentially Private Principal Components »
  Kamalika Chaudhuri · Anand D Sarwate · Kaushik Sinha
• 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
• 2006 Poster: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts »
  Hariharan Narayanan · Mikhail Belkin · Partha Niyogi
• 2006 Poster: Convergence of Laplacian Eigenmaps »
  Mikhail Belkin · Partha Niyogi