Lawrence Saul

4 papers · 2010–2014 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AISTATS (3) ICML (1)

Top co-authors

Do-kyum Kim (2) Max Welling (1) Mark Dredze (1) Geoffrey Voelker (1) Laurens van der Maaten (1) Alex Kulesza (1) Matthew Der (1) Fernando Pereira (1) Justin Ma (1) Koby Crammer (1)

Research topics

Machine Learning (4) Core Methods (4) Optimization & Theory (3) Artificial Intelligence (2) Bayesian & Probabilistic · Artificial Intelligence (2) Bayesian & Probabilistic · Machine Learning (2) Learning Types (2)

Keywords

semi-supervised learning (1) online learning (1) variational inference (1) structured prediction (1) sequence labeling (1) text classification (1) probabilistic inference (1) topic modeling (1) expectation maximization (1) part-of-speech tagging (1) large margin classification (1) low-rank approximation (1) covariance matrix (1) hierarchical dirichlet process (1) confidence-weighted learning (1) linear classification (1) least squares regression (1) variational approximation (1) support vector machine (1) latent variable model (1)

Papers

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 Hidden-Unit Conditional Random Fields AISTATS 2011 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010