Eric P. Xing

Eric P. Xing

20 Papers

Monte Carlo Methods for Maximum Margin Supervised Topic Models (2012)

On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks (2012)

Symmetric Correspondence Topic Models for Multilingual Text Analysis (2012)

Infinite Latent SVM for Classification and Multi-task Learning (2011)

Kernel Embeddings of Latent Tree Graphical Models (2011)

Large-Scale Category Structure Aware Image Categorization (2011)

Adaptive Multi-Task Lasso: with Application to eQTL Detection (2010)

Large Margin Learning of Upstream Scene Understanding Models (2010)

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification (2010)

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach (2010)

Heterogeneous multitask learning with joint sparsity constraints (2009)

Sparsistent Learning of Varying-coefficient Models with Structural Changes (2009)

Time-Varying Dynamic Bayesian Networks (2009)

Mixed Membership Stochastic Blockmodels (2008)

Partially Observed Maximum Entropy Discrimination Markov Networks (2008)

HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation (2007)

Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space (2006)

From Lasso regression to Feature vector machine (2005)

A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences (2002)

Distance Metric Learning with Application to Clustering with Side-Information (2002)