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Partha Niyogi

6 papers · 2006–2013 · 3 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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+4 more ↓ 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🌍 Conference Polyglot Β· Bronze
🌱 Topic Pioneer 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Venues

JMLR (3) NeurIPS (2) ACL (1)

Top co-authors

Mikhail Belkin (3) Hariharan Narayanan (1) Shivani Agarwal (1) Vikas Sindhwani (1) Morgan Sonderegger (1)

Research topics

Machine Learning (5) Core Methods (4) Learning Types Β· Machine Learning (4) Optimization & Theory (4) Computer Science (1) Deep Learning (1) Mathematics & Optimization (1) Foundations (1) Learning Types Β· Deep Learning (1) Mathematics (1)

Keywords

semi-supervised learning (3) spectral clustering (2) reproducing kernel hilbert space (2) manifold regularization (2) convergence analysis (1) point cloud (1) spectral dimensionality reduction (1) point cloud laplacian (1) low density separation (1) probability distribution (1) algorithmic stability (1) probability density (1) ranking algorithm (1) minimax analysis (1) support vector machine (1) generalization bound (1) spectral algorithm (1) graph cut (1) spectral method (1) laplacian eigenmap (1)

Papers

Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013 Combining Data and Mathematical Models of Language Change ACL 2010 Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009 Convergence of Laplacian Eigenmaps NeurIPS 2006 Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples JMLR 2006 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006