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Ali Rahimi

8 papers · 2006–2019 · 4 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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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (30) 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌱 Topic Pioneer 🌟 Keyword Trendsetter Combo (5) 🧬 Topic Evolution πŸ† Keyword Champion 🧭 Keyword Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (71) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Venues

NeurIPS (5) AISTATS (1) ICML (1) JMLR (1)

Top co-authors

Benjamin Recht (2) Ravi Kumar (1) Michal Valko (1) Eric K. Garcia (1) Ariel Kleiner (1) Shulin Yang (1) Branislav Kveton (1) Michael I. Jordan (1) Maya R. Gupta (1) David Woodruff (1)

Research topics

Machine Learning (8) Core Methods (7) Mathematics & Optimization (4) Optimization (4) Optimization & Theory Β· Machine Learning (4) Learning Types (3) Deep Learning (2) Mathematics (2) Application Areas (1) Architectures (1) Optimization & Theory Β· Deep Learning (1)

Keywords

random feature (2) kernel methods (2) approximation algorithm (2) kernel approximation (2) semidefinite programming (1) classification (1) semi-supervised learning (1) structure learning (1) manifold learning (1) convergence analysis (1) random feature approximation (1) manifold regularization (1) binary matrix factorization (1) global optimization (1) nearest neighbor (1) message passing (1) nonlinear system identification (1) unsupervised regression (1) inverse functions (1) convex optimization (1)

Papers

Faster Algorithms for Binary Matrix Factorization ICML 2019 Structure Learning for Optimization NeurIPS 2011 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010 Similarity-based Classification: Concepts and Algorithms JMLR 2009 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Unsupervised Regression with Applications to Nonlinear System Identification NeurIPS 2006