54 citations · 162 across the 19 of their papers we have counts for
6 papers · 1 filter
Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon, Paul Kidwell
Recommendation systems are emerging as an important business application with significant economic impact. Currently popular systems include Amazon's book recommendations, Netflix'…
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
Joshua V Dillon, Guy Lebanon
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stocha…
Linguistic Geometries for Unsupervised Dimensionality Reduction
Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as…
Local Space-Time Smoothing for Version Controlled Documents
Seungyeon Kim, Guy Lebanon
Unlike static documents, version controlled documents are continuously edited by one or more authors. Such collaborative revision process makes traditional modeling and visualizati…
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Many popular linear classifiers, such as logistic regression, boosting, or SVM, are trained by optimizing a margin-based risk function. Traditionally, these risk functions are comp…
Asymptotic Analysis of Generative Semi-Supervised Learning
Joshua V Dillon, Krishnakumar Balasubramanian, Guy Lebanon
Semisupervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likelihood…