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Mikhail Belkin, Ph.D. - Publications

Affiliations: 
University of Chicago, Chicago, IL 
Area:
artificial intelligence, pattern recognition, machine learning, computational study of human speech and language
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17 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Belkin M, Hsu D, Ma S, Mandal S. Reply to Loog et al.: Looking beyond the peaking phenomenon. Proceedings of the National Academy of Sciences of the United States of America. PMID 32371494 DOI: 10.1073/Pnas.2003206117  0.321
2019 Belkin M, Hsu D, Ma S, Mandal S. Reconciling modern machine-learning practice and the classical bias-variance trade-off. Proceedings of the National Academy of Sciences of the United States of America. PMID 31341078 DOI: 10.1073/Pnas.1903070116  0.394
2019 Que Q, Belkin M. Back To The Future: Radial Basis Function Network Revisited. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30908191 DOI: 10.1109/Tpami.2019.2906594  0.346
2015 Belkin M, Sinha K. Polynomial learning of distribution families Siam Journal On Computing. 44: 889-911. DOI: 10.1137/13090818X  0.391
2014 Zhou X, Belkin M. Semi-Supervised Learning Academic Press Library in Signal Processing. 1: 1239-1269. DOI: 10.1016/B978-0-12-396502-8.00022-X  0.609
2013 Belkin M, Narayanan H, Niyogi P. Heat flow and a faster algorithm to compute the surface area of a convex body Random Structures and Algorithms. 43: 407-428. DOI: 10.1002/Rsa.20513  0.622
2009 Shi T, Belkin M, Yu B. Data spectroscopy: Eigenspaces of convolution operators and clustering Annals of Statistics. 37: 3960-3984. DOI: 10.1214/09-Aos700  0.357
2008 Luxburg Uv, Belkin M, Bousquet O. Consistency of spectral clustering Annals of Statistics. 36: 555-586. DOI: 10.1214/009053607000000640  0.367
2008 Belkin M, Niyogi P. Towards a theoretical foundation for Laplacian-based manifold methods Journal of Computer and System Sciences. 74: 1289-1308. DOI: 10.1016/J.Jcss.2007.08.006  0.663
2007 Narayanan H, Belkin M, Niyogi P. On the relation between low density separation, spectral clustering and graph cuts Advances in Neural Information Processing Systems. 1025-1032.  0.555
2007 Belkin M, Niyogi P. Convergence of Laplacian eigenmaps Advances in Neural Information Processing Systems. 129-136.  0.501
2005 Sindhwani V, Niyogi P, Belkin M. Beyond the point cloud: From transductive to semi-supervised learning Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 825-832.  0.583
2004 Belkin M, Niyogi P. Semi-supervised learning on riemannian manifolds Machine Learning. 56: 209-239. DOI: 10.1023/B:Mach.0000033120.25363.1E  0.628
2004 Belkin M, Matveeva I, Niyogi P. Regularization and semi-supervised learning on large graphs Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3120: 624-638.  0.621
2004 Belkin M, Matveeva I, Niyogi P. Tikhonov regularization and semi-supervised learning on large graphs Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3: III1000-III1003.  0.621
2003 Belkin M, Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation Neural Computation. 15: 1373-1396. DOI: 10.1162/089976603321780317  0.632
2002 Belkin M, Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering Advances in Neural Information Processing Systems.  0.511
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