NIPS Proceedingsβ

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)