Xing, Eric P. - School of Computer Science, Carnegie Mellon University

• Supplemental Material Evolving Cluster Mixed-Membership Blockmodel for
• A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences
• BIOINFORMATICS Vol. 00 no. 00 2007
• Online Detection of Unusual Events in Videos via Dynamic Sparse Coding School of Computer Science
• Vol. 22 no. 14 2006, pages e298e306 doi:10.1093/bioinformatics/btl200BIOINFORMATICS
• Heterogeneous multitask learning with joint sparsity constraints
• Electronic Journal of Statistics Vol. 4 (2010) 585605
• Bayesian Haplotype Inference via the Dirichlet Process Eric Xing + epxing@cs.berkeley.edu
• Image Segmentation with Topic Random Field , Li Fei-Fei2
• Evolving Cluster Mixed-Membership Blockmodel for Time-Varying Networks Qirong Ho Le Song Eric P. Xing
• On Time Varying Undirected Graphs Mladen Kolar Eric P. Xing
• Supplemental Material Multiscale Community Blockmodel for Network Exploration
• From Lasso regression to Feature vector , Yiming Yang1
• Bayesian Analysis (2004) 1, Number 1, pp. 127 Hidden Markov Dirichlet Process: Modeling
• Supplementary Material for CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing
• Bayesian Exponential Family Harmoniums Fan Guo Eric P. Xing
• Sparsistent Learning of Varying-coefficient Models with Structural Changes
• A New Nonparametric Bayesian Model for Genetic Inference in
• Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
• mStruct: Inference of Population Structure in Light of Both Genetic Admixing and Allele
• Loss of Heterozygosity of the Rb Gene Correlates with pRb Protein Expression and Associates with p53 Alteration in Human
• Nonextensive Entropic Kernels Andre F. T. Martins
• A Latent Mixed Membership Model for Relational Data Edoardo Airoldi, David Blei, Eric Xing
• Capturing characteristic structural features for motif detection using a hierarchical Bayesian
• BiTAM: Bilingual Topic AdMixture Models for Word Alignment and Eric P. Xing
• BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes
• Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process : with Applications to Evolutionary Clustering
• Bayesian Haplotype Inference via the Dirichlet Eric P. Xing ?1 , Roded Sharan ??2 , and Michael I. Jordan 1;3
• BIOINFORMATICS Vol. 00 no. 00 2011
• Maximum Entropy Discrimination Markov Networks
• Harmonium Models for Video Classification , Rong Yan2
• mStruct: A New Admixture Model for Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations
• Sparse Additive Generative Models of Text Jacob Eisenstein jacobeis@cs.cmu.edu
• Graph partition strategies for generalized mean field inference Eric P. Xing
• Partially Observed Maximum Entropy Discrimination Markov Networks
• A Spectral Algorithm for Latent Tree Graphical Models Ankur P. Parikh APPARIKH@CS.CMU.EDU
• Dynamic Mixed Membership Blockmodel for Evolving Networks Wenjie Fu wenjief@cs.cmu.edu
• Copyright 2009 by the Genetics Society of America DOI: 10.1534/genetics.108.100222
• Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network
• Probabilistic graphical models and algorithms for genomic analysis B.S. (Tsinghua University) 1993
• Discrete Temporal Models of Social Networks Steve Hanneke and Eric Xing
• Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
• Polyhedral Outer Approximations with Application to Natural Language Parsing
• Proc. Valencia / ISBA 8th World Meeting on Bayesian Statistics Benidorm (Alicante, Spain), June 1st6th, 2006
• Network Completion and Survey Sampling Steve Hanneke
• Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines
• Inferring regulatory networks using a hierarchical Bayesian graphical Gaussian
• Laplace Maximum Margin Markov Networks jun-zhu@mails.tsinghua.edu.cn
• Multiscale Community Blockmodel for Network Exploration Qirong Ho Ankur P. Parikh Le Song Eric P. Xing
• Supplemental Material Online Inference for the Infinite Topic-Cluster Model
• Adaptive Multi-Task Lasso: with application to eQTL Seunghak Lee, Jun Zhu and Eric P. Xing
• Large Margin Learning of Upstream Scene Understanding Models
• A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O'Connor Noah A. Smith Eric P. Xing
• Modeling and Analysis of Dynamic Behaviors of Web Image Collections
• Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
• Conditional Topic Random Fields Jun Zhu junzhu@cs.cmu.edu
• Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal
• MoGUL: Detecting Common Insertions and Deletions in a Population
• The Annals of Applied Statistics 2010, Vol. 4, No. 1, 94123
• Time-Varying Dynamic Bayesian Networks Le Song, Mladen Kolar and Eric P. Xing
• Journal of Machine Learning Research 10 (2009) 1-48 Submitted 11/08; Revised 8/09; Published 9/09 Maximum Entropy Discrimination Markov Networks
• Recovering time-varying networks of dependencies in social and biological studies
• Supporting Information Ahmed and Xing 10.1073/pnas.0901910106
• MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification
• Primal Sparse Max-Margin Markov Networks Eric P. Xing
• Journal of Machine Learning Research 9 (2008) 1981-2014 Submitted 5/07; Revised 6/08; Published 9/08 Mixed Membership Stochastic Blockmodels
• Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
• A Joint Topic and Perspective Model for Ideological Discourse
• Feature Selection via Block-Regularized Regression Seyoung Kim
• Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation
• HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
• A Nonparametric Bayesian Approach for Haplotype Reconstruction from Single and
• A MAX MARGIN FRAMEWORK ON IMAGE ANNOTATION AND MULTIMODAL IMAGE RETRIEVAL
• Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation
• GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
• Automatic Mining of Fruit Fly Embryo Images Jia-Yu Pan, Andre Guilherme Ribeiro Balan
• Bayesian Multi-Population Haplotype Inference via a Hierarchical Dirichlet Process Mixture
• Mixed Membership Stochastic Block Models for Relational Data with Application to
• MotifPrototyper: A Bayesian profile model for motif families
• Distance metric learning, with application to clustering with side-information
• -Author to whom correspondence should be addressed. Current address: 593 Soda Hall, Division of Computer
• Analysis of ribosomal RNA sequences by combinatorial clustering , Casimir Kulikowski1
• Advance and Briefs Mechanisms of Inactivation of p14ARF
• Discovering Sociolinguistic Associations with Structured Sparsity Jacob Eisenstein Noah A. Smith Eric P. Xing
• C-DEM: A Multi-Modal Query System for Drosophila Embryo Databases
• On Sparse Nonparametric Conditional Covariance Selection Mladen Kolar mladenk@cs.cmu.edu
• The Annals of Applied Statistics 2010, Vol. 4, No. 2, 535566
• Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream
• Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
• Stacking Dependency Parsers Andre F. T. Martins
• Recovering Temporally Rewiring Networks: A Model-based Fan Guo fanguo@cs.cmu.edu
• Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature
• Unified Analysis of Streaming News Amr Ahmed, Qirong Ho
• On Topic Evolution Eric P. Xing
• Concise Integer Linear Programming Formulations for Dependency Parsing
• GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
• The Annals of Applied Statistics 2009, Vol. 3, No. 2, 791821
• Predicting Protein Folds with Structural Repeats Using a Chain Graph Model
• Staying Informed: Supervised and Semi-Supervised Multi-view Topical Analysis of Ideological Perspective
• Approximating Correlated Equilibria using Relaxations on the Marginal Polytope
• On Primal and Dual Sparsity of Markov Networks jun-zhu@mails.tsinghua.edu.cn
• Bayesian Haplotype Inference via the Dirichlet Process Eric P. Xing
• GenAMap: Visualization Strategies for Structured Association Mapping Ross E Curtis
• Supplementary Material Kernel Embeddings of Latent Tree Graphical Models
• Document Hierarchies from Text and Links Machine Learning Department
• TO APPEAR IN IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, JANUARY 2012 1 Large-margin Predictive Latent Subspace
• TopicViz: Interactive Topic Exploration in Document
• Submitted to the Annals of Applied Statistics A SMOOTHING PROXIMAL GRADIENT METHOD FOR
• Submitted to the Annals of Applied Statistics arXiv: math.PR/0000000
• Multiscale Community Blockmodel for Network Exploration