Search results for "Eric P. Xing"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Amr Ahmed, Eric P. Xing	Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream	CoRR	2012	DBLP BibTeX RDF
1	Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing	Smoothing Proximal Gradient Method for General Structured Sparse Learning	CoRR	2012	DBLP BibTeX RDF
1	Jun Zhu, Eric P. Xing	Sparse Topical Coding	CoRR	2012	DBLP BibTeX RDF
1	Qirong Ho, Jacob Eisenstein, Eric P. Xing	Document hierarchies from text and links.	WWW	2012	DBLP DOI BibTeX RDF
1	Ross E. Curtis, Amos Yuen, Le Song, Anuj Goyal, Eric P. Xing	TVNViewer: An interactive visualization tool for exploring networks that change over time or space.	Bioinformatics [ISMB/ECCB]	2011	DBLP DOI BibTeX RDF
1	Ankur P. Parikh, Wei Wu, Ross E. Curtis, Eric P. Xing	TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.	Bioinformatics [ISMB/ECCB]	2011	DBLP DOI BibTeX RDF
1	Suyash Shringarpure, Daegun Won, Eric P. Xing	StructHDP: automatic inference of number of clusters and population structure from admixed genotype data.	Bioinformatics [ISMB/ECCB]	2011	DBLP DOI BibTeX RDF
1	Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing	Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	André Filipe Torres Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo	Online Learning of Structured Predictors with Multiple Kernels.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing	Multiscale Community Blockmodel for Network Exploration.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Qirong Ho, Le Song, Eric P. Xing	Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Mladen Kolar, Eric P. Xing	On Time Varying Undirected Graphs.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing	TopicScape: Semantic Navigation of Document Collections	CoRR	2011	DBLP BibTeX RDF
1	Jacob Eisenstein, Noah A. Smith, Eric P. Xing	Discovering Sociolinguistic Associations with Structured Sparsity.	ACL	2011	DBLP BibTeX RDF
1	Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo	Unified analysis of streaming news.	WWW	2011	DBLP DOI BibTeX RDF
1	Gunhee Kim, Eric P. Xing, Fei-Fei Li, Takeo Kanade	Distributed cosegmentation via submodular optimization on anisotropic diffusion.	ICCV	2011	DBLP DOI BibTeX RDF
1	André L. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing	An Augmented Lagrangian Approach to Constrained MAP Inference.	ICML	2011	DBLP BibTeX RDF
1	Jacob Eisenstein, Amr Ahmed, Eric P. Xing	Sparse Additive Generative Models of Text.	ICML	2011	DBLP BibTeX RDF
1	Ankur P. Parikh, Le Song, Eric P. Xing	A Spectral Algorithm for Latent Tree Graphical Models.	ICML	2011	DBLP BibTeX RDF
1	Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead	Approximating Correlated Equilibria using Relaxations on the Marginal Polytope.	ICML	2011	DBLP BibTeX RDF
1	Jun Zhu, Ning Chen, Eric P. Xing	Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines.	ICML	2011	DBLP BibTeX RDF
1	Bin Zhao, Fei-Fei Li, Eric P. Xing	Online detection of unusual events in videos via dynamic sparse coding.	CVPR	2011	DBLP DOI BibTeX RDF
1	Jun Zhu, Eric P. Xing	Sparse Topical Coding.	UAI	2011	DBLP BibTeX RDF
1	Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing	Smoothing Proximal Gradient Method for General Structured Sparse Learning.	UAI	2011	DBLP BibTeX RDF
1	Eric P. Xing	Genome-Phenome Association Analysis of Complex Diseases a Structured Sparse Regression Approach - (Keynote Talk).	ISBRA	2011	DBLP DOI BibTeX RDF
1	Bin Zhao, Xiaoxin Yin, Eric P. Xing	Max margin learning on domain-independent web information extraction.	CIKM	2011	DBLP DOI BibTeX RDF
1	Le Song, Ankur P. Parikh, Eric P. Xing	Kernel Embeddings of Latent Tree Graphical Models.	NIPS	2011	DBLP BibTeX RDF
1	Bin Zhao, Fei-Fei Li, Eric P. Xing	Large-Scale Category Structure Aware Image Categorization.	NIPS	2011	DBLP BibTeX RDF
1	Jun Zhu, Ning Chen, Eric P. Xing	Infinite Latent SVM for Classification and Multi-task Learning.	NIPS	2011	DBLP BibTeX RDF
1	Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing	Conditional topical coding: an efficient topic model conditioned on rich features.	KDD	2011	DBLP DOI BibTeX RDF
1	Kriti Puniyani, Christos Faloutsos, Eric P. Xing	SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.	Bioinformatics [ISMB]	2010	DBLP DOI BibTeX RDF
1	Kriti Puniyani, Seyoung Kim, Eric P. Xing	Multi-population GWA mapping via multi-task regularized regression.	Bioinformatics [ISMB]	2010	DBLP DOI BibTeX RDF
1	Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy	Structured literature image finder: Parsing text and figures in biomedical literature.	J. Web Sem.	2010	DBLP DOI BibTeX RDF
1	Mladen Kolar, Eric P. Xing	Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing	An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity	CoRR	2010	DBLP BibTeX RDF
1	Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing	Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso	CoRR	2010	DBLP BibTeX RDF
1	Amr Ahmed, Eric P. Xing	Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective.	EMNLP	2010	DBLP BibTeX RDF
1	André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo	Turbo Parsers: Dependency Parsing by Approximate Variational Inference.	EMNLP	2010	DBLP BibTeX RDF
1	Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing	A Latent Variable Model for Geographic Lexical Variation.	EMNLP	2010	DBLP BibTeX RDF
1	Bin Zhao, Fei-Fei Li, Eric P. Xing	Image Segmentation with Topic Random Field.	ECCV	2010	DBLP DOI BibTeX RDF
1	Gunhee Kim, Eric P. Xing, Antonio Torralba	Modeling and Analysis of Dynamic Behaviors of Web Image Collections.	ECCV	2010	DBLP DOI BibTeX RDF
1	Seyoung Kim, Eric P. Xing	Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity.	ICML	2010	DBLP BibTeX RDF
1	Mladen Kolar, Ankur P. Parikh, Eric P. Xing	On Sparse Nonparametric Conditional Covariance Selection.	ICML	2010	DBLP BibTeX RDF
1	Jun Zhu, Eric P. Xing	Conditional Topic Random Fields.	ICML	2010	DBLP BibTeX RDF
1	Amr Ahmed, Eric P. Xing	Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream.	UAI	2010	DBLP BibTeX RDF
1	Seunghak Lee, Eric P. Xing, Michael Brudno	MoGUL: Detecting Common Insertions and Deletions in a Population.	RECOMB	2010	DBLP DOI BibTeX RDF
1	Jun Zhu, Li-Jia Li, Fei-Fei Li, Eric P. Xing	Large Margin Learning of Upstream Scene Understanding Models.	NIPS	2010	DBLP BibTeX RDF
1	Seunghak Lee, Jun Zhu, Eric P. Xing	Adaptive Multi-Task Lasso: with Application to eQTL Detection.	NIPS	2010	DBLP BibTeX RDF
1	Ning Chen, Jun Zhu, Eric P. Xing	Predictive Subspace Learning for Multi-view Data: a Large Margin Approach.	NIPS	2010	DBLP BibTeX RDF
1	Li-Jia Li, Hao Su, Eric P. Xing, Fei-Fei Li	Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.	NIPS	2010	DBLP BibTeX RDF
1	Jun Zhu, Ni Lao, Eric P. Xing	Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.	KDD	2010	DBLP DOI BibTeX RDF	feature selection, Markov random fields, structure learning
1	Le Song, Mladen Kolar, Eric P. Xing	KELLER: estimating time-varying interactions between genes.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing	A multivariate regression approach to association analysis of a quantitative trait network.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Wenjie Fu, Pradipta Ray, Eric P. Xing	DISCOVER: a feature-based discriminative method for motif search in complex genomes.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Steve Hanneke, Eric P. Xing	Network Completion and Survey Sampling.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Jun Zhu, Eric P. Xing	Maximum Entropy Discrimination Markov Networks.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo	Nonextensive Information Theoretic Kernels on Measures.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	André L. Martins, Noah A. Smith, Eric P. Xing	Concise Integer Linear Programming Formulations for Dependency Parsing.	ACL/AFNLP	2009	DBLP BibTeX RDF
1	André F. T. Martins, Noah A. Smith, Eric P. Xing	Polyhedral outer approximations with application to natural language parsing.	ICML	2009	DBLP DOI BibTeX RDF
1	Jun Zhu, Amr Ahmed, Eric P. Xing	MedLDA: maximum margin supervised topic models for regression and classification.	ICML	2009	DBLP DOI BibTeX RDF
1	Jun Zhu, Eric P. Xing	On primal and dual sparsity of Markov networks.	ICML	2009	DBLP DOI BibTeX RDF
1	Wenjie Fu, Le Song, Eric P. Xing	Dynamic mixed membership blockmodel for evolving networks.	ICML	2009	DBLP DOI BibTeX RDF
1	Le Song, Mladen Kolar, Eric P. Xing	Time-Varying Dynamic Bayesian Networks.	NIPS	2009	DBLP BibTeX RDF
1	Xiaolin Yang, Seyoung Kim, Eric P. Xing	Heterogeneous multitask learning with joint sparsity constraints.	NIPS	2009	DBLP BibTeX RDF
1	Mladen Kolar, Le Song, Eric P. Xing	Sparsistent Learning of Varying-coefficient Models with Structural Changes.	NIPS	2009	DBLP BibTeX RDF
1	Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy	Structured correspondence topic models for mining captioned figures in biological literature.	KDD	2009	DBLP DOI BibTeX RDF	information retrieval, bioinformatics, topic models, gibbs sampling, multimodal data
1	Jun Zhu, Eric P. Xing, Bo Zhang	Primal sparse Max-margin Markov networks.	KDD	2009	DBLP DOI BibTeX RDF	l_1-norm max-margin markov networks, dual sparsity, primal sparsity
1	Jun Yang 0003, Rong Yan, Yan Liu, Eric P. Xing	Harmonium Models for Video Classification.	Statistical Analysis and Data Mining	2008	DBLP DOI BibTeX RDF
1	Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead	Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.	Journal of Computational Biology	2008	DBLP DOI BibTeX RDF
1	Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing	Mixed Membership Stochastic Blockmodels.	Journal of Machine Learning Research	2008	DBLP DOI BibTeX RDF
1	Pradipta Ray, Suyash Shringarpure, Mladen Kolar, Eric P. Xing	CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing.	PLoS Computational Biology	2008	DBLP DOI BibTeX RDF
1	Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing	C-DEM: a multi-modal query system for Drosophila Embryo databases.	PVLDB	2008	DBLP BibTeX RDF
1	Wei-Hao Lin, Eric P. Xing, Alexander G. Hauptmann	A Joint Topic and Perspective Model for Ideological Discourse.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
1	Amr Ahmed, Eric P. Xing	Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.	SDM	2008	DBLP BibTeX RDF
1	Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos	Semi-Supervised Learning Based on Semiparametric Regularization.	SDM	2008	DBLP BibTeX RDF
1	André F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing	Stacking Dependency Parsers.	EMNLP	2008	DBLP BibTeX RDF
1	Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing	Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.	ECCV	2008	DBLP DOI BibTeX RDF
1	André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing	Nonextensive entropic kernels.	ICML	2008	DBLP DOI BibTeX RDF
1	Suyash Shringarpure, Eric P. Xing	mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations.	ICML	2008	DBLP DOI BibTeX RDF
1	Jun Zhu, Eric P. Xing, Bo Zhang	Laplace maximum margin Markov networks.	ICML	2008	DBLP DOI BibTeX RDF
1	Seyoung Kim, Eric P. Xing	Feature Selection via Block-Regularized Regression.	UAI	2008	DBLP BibTeX RDF
1	Tien-ho Lin, Pradipta Ray, Geir Kjetil Sandve, Selen Uguroglu, Eric P. Xing	BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes.	RECOMB	2008	DBLP DOI BibTeX RDF
1	Jun Zhu, Eric P. Xing, Bo Zhang	Partially Observed Maximum Entropy Discrimination Markov Networks.	NIPS	2008	DBLP BibTeX RDF
1	Edoardo Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing	Mixed Membership Stochastic Blockmodels.	NIPS	2008	DBLP BibTeX RDF
1	Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen	Joint latent topic models for text and citations.	KDD	2008	DBLP DOI BibTeX RDF	topic models, LDA, hyperlinks, PLSA, influence, citations, variational inference
1	Eric P. Xing, Michael I. Jordan, Roded Sharan	Bayesian Haplotype Inference via the Dirichlet Process.	Journal of Computational Biology	2007	DBLP DOI BibTeX RDF
1	Amr Ahmed, Eric P. Xing	Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing	Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.	ICDM Workshops	2007	DBLP DOI BibTeX RDF
1	Jun Yang 0003, Yan Liu 0002, Eric P. Xing, Alexander G. Hauptmann	Harmonium Models for Semantic Video Representation and Classification.	SDM	2007	DBLP BibTeX RDF
1	Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing	Feature selection for grasp recognition from optical markers.	IROS	2007	DBLP DOI BibTeX RDF
1	Eric P. Xing	Probabilistic Graphical Models-Theory, Algorithm, and Application.	ICMLA	2007	DBLP DOI BibTeX RDF
1	Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos	A Max Margin Framework on Image Annotation and Multimodal Image Retrieval.	ICME	2007	DBLP DOI BibTeX RDF
1	Kyung-Ah Sohn, Eric P. Xing	Spectrum: joint bayesian inference of population structure and recombination events.	ISMB/ECCB (Supplement of Bioinformatics)	2007	DBLP DOI BibTeX RDF
1	Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing	Recovering temporally rewiring networks: a model-based approach.	ICML	2007	DBLP DOI BibTeX RDF
1	Lie Gu, Eric P. Xing, Takeo Kanade	Learning GMRF Structures for Spatial Priors.	CVPR	2007	DBLP DOI BibTeX RDF
1	Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing	GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data.	RECOMB	2007	DBLP DOI BibTeX RDF
1	Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead	Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.	RECOMB	2007	DBLP DOI BibTeX RDF	Decoy Detection, Protein Structure, Probabilistic Graphical Models, Free Energy
1	Bing Zhao, Eric P. Xing	HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation.	NIPS	2007	DBLP BibTeX RDF
1	Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos	Enhanced max margin learning on multimodal data mining in a multimedia database.	KDD	2007	DBLP DOI BibTeX RDF	max margin, multimodal data mining, image retrieval, image annotation
1	Bing Zhao, Eric P. Xing	BiTAM: Bilingual Topic AdMixture Models for Word Alignment.	ACL	2006	DBLP BibTeX RDF

Publications of "Eric P. Xing" ( http://dblp.L3S.de/Authors/Eric_P._Xing )