← Authors

Guy Lebanon

21 papers · 2005–2016 · 7 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (33) πŸƒ Academic Marathon (11) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (10) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ’Ž Century Club (21) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (93)

Conferences

JMLR (8) AISTATS (4) NIPS (3) COLING (2) ICML (2) CVPR (1) EMNLP (1)

Top co-authors

Krishnakumar Balasubramanian (6) Yi Mao (5) Seungyeon Kim (5) Joonseok Lee (4) Pinar Donmez (3) Mingxuan Sun (3) Fuxin Li (2) Paul Kidwell (2) Yoram Singer (2) John Lafferty (1)

Research topics

Statistics (1)

Keywords

collaborative filtering (5) recommendation system (4) non-parametric model (3) unlabeled datum (3) matrix factorization (3) semi-supervised learning (2) kernel smoothing (2) recommender system (2) composite likelihood (2) transfer learning (2) partial ranking (2) unsupervised learning (2) margin-based classification (2) sentiment analysis (2) conditional random field (2) sparse coding (1) sequence labeling (1) image segmentation (1) statistical learning (1) em algorithm (1)

Papers

LLORMA: Local Low-Rank Matrix Approximation JMLR 2016
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013
Local Low-Rank Matrix Approximation ICML 2013
Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013
Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013
Composite Statistical Inference for Semantic Segmentation CVPR 2013
PREA: Personalized Recommendation Algorithms Toolkit JMLR 2012
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011
Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011
Estimating Probabilities in Recommendation Systems AISTATS 2011
Stochastic Composite Likelihood JMLR 2010
Local Space-Time Smoothing for Version Controlled Documents COLING 2010
Dimensionality Reduction for Text using Domain Knowledge COLING 2010
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010
Statistical Estimation of Word Acquisition with Application to Readability Prediction EMNLP 2009
Non-Parametric Modeling of Partially Ranked Data JMLR 2008
The Locally Weighted Bag of Words Framework for Document Representation JMLR 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Isotonic Conditional Random Fields and Local Sentiment Flow NIPS 2006
Diffusion Kernels on Statistical Manifolds JMLR 2005