Colin Campbell

3 papers · 2001–2009 · 2 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🧭 Keyword Pioneer 🏆 Keyword Champion (2) 🌟 Keyword Trendsetter Combo (3) 📈 Trend Setter

Venues

NeurIPS (2) JMLR (1)

Top co-authors

Yiming Ying (2) Thore Graepel (1) Kaizhu Huang (1) Ralf Herbrich (1) Mark Girolami (1)

Research topics

Machine Learning (3) Core Methods (3) Optimization & Theory (3) Mathematics & Optimization (2) Optimization (2) Artificial Intelligence (1) Deep Learning (1) Bayesian & Probabilistic (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

smooth optimization (2) kernel methods (2) convex optimization (2) support vector machine (2) margin-based learning (1) dimension reduction (1) gradient descent (1) kernel matrix (1) sparse optimization (1) distance matrix (1) mixed-norm regularization (1) convex classification (1) version space (1) kernel classifier (1) saddle point (1) bayes point machine (1) indefinite kernel (1) sparse metric learning (1) metric learning (1) convex saddle problem (1)

Papers

Analysis of SVM with Indefinite Kernels NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Bayes Point Machines JMLR 2001