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All publications by Mikhail Belkin
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A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
James R. Voss, Mikhail Belkin and Luis Rademacher
Advances in Neural Information Processing Systems 28, 2015


Learning with Fredholm Kernels
Qichao Que, Mikhail Belkin and Yusu Wang
Advances in Neural Information Processing Systems 27, 2014


Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
James R. Voss, Luis Rademacher and Mikhail Belkin
Advances in Neural Information Processing Systems 26, 2013


Inverse Density as an Inverse Problem: the Fredholm Equation Approach
Qichao Que and Mikhail Belkin
Advances in Neural Information Processing Systems 26, 2013


Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin and Yusu Wang
Advances in Neural Information Processing Systems 24, 2011


Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou and Mikhail Belkin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Semi-supervised Learning using Sparse Eigenfunction Bases
Kaushik Sinha and Mikhail Belkin
Advances in Neural Information Processing Systems 22, 2009


Data spectroscopy: learning mixture models using eigenspaces of convolution operators
Tao Shi, Mikhail Belkin and Bin Yu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The Value of Labeled and Unlabeled Examples when the Model is Imperfect
Kaushik Sinha and Mikhail Belkin
Advances in Neural Information Processing Systems 20, 2007


On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan, Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 19, 2006


Convergence of Laplacian Eigenmaps
Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 19, 2006


Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
Mikhail Belkin, Partha Niyogi and Vikas Sindhwani
Journal of Machine Learning Research, 2006


Beyond the point cloud: from transductive to semi-supervised learning
Vikas Sindhwani, Partha Niyogi and Mikhail Belkin
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Maximum Margin Semi-Supervised Learning for Structured Variables
Yasemin Altun, Mikhail Belkin and David A. Mcallester
Advances in Neural Information Processing Systems 18, 2005


Limits of Spectral Clustering
Ulrike V. Luxburg, Olivier Bousquet and Mikhail Belkin
Advances in Neural Information Processing Systems 17, 2004


Using Manifold Stucture for Partially Labeled Classification
Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 15, 2002


Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 14, 2001