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Submissions from 2011

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Sparse Additive Generative Models of Text, Jacob Eisenstein, Amr Ahmed, and Eric P. Xing

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Discovering Sociolinguistic Associations with Structured Sparsity, Jacob Eisenstein, Noah A. Smith, and Eric P. Xing

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Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities, Brian Eriksson, Gautam Dasarathy, Aarti Singh, and Robert Nowak

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An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs, Sue Ann Hong and Geoffrey J. Gordon

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Evolving Cluster Mixed-Membership Blockmodel for Time-Varying Networks, Qirong Ho, Le Song, and Eric P. Xing

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Approximating Correlated Equilibria using Relaxations on the Marginal Polytope, Hetunandan Kamisetty, Eric P. Xing, and Christopher J. Langmead

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Distributed cosegmentation via submodular optimization on anisotropic diffusion, Gunhee Kim and Eric P. Xing

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Minimax Localization of Structural Information in Large Noisy Matrices, Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, and Aarti Singh

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On Time Varying Undirected Graphs, Mladen Kolar and Eric P. Xing

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Which Noun Phrases Denote Which Concepts?, Jayant Krishnamurthy and Tom Mitchell

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Random Walk Inference and Learning in A Large Scale Knowledge Base, Ni Lao, Tom Mitchell, and William W. Cohen

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An Augmented Lagrangian Approach to Constrained MAP Inference, Andre F.T. Martins, Mario A. T. Figeuiredo, Pedro M.Q. Aguiar, Noah A. Smith, and Eric P. Xing

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Online Learning of Structured Predictors with Multiple Kernels, Andre F.T. Martins, Noah A. Smith, Eric P. Xing, Pedro M.Q. Aguiar, and Mario A. T. Figeuiredo

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A Spectral Algorithm for Latent Tree Graphical Models, Ankur P. Parikh, Le Song, and Eric P. Xing

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TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages., Ankur P. Parikh, Wei Wu, Ross E. Curtis, and Eric P. Xing

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Robust Nonparametric Copula Based Dependence Estimators, Barnabas Poczos, Sergey Krishner, David Pal, Csaba Szepesvari, and Jeff Schneider

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On the Estimation of alpha-Divergences, Barnabas Poczos and Jeff Schneider

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Nonparametric Divergence Estimators for Independent Subspace Analysis, Barnabas Poczos, Zoltan Szabo, and Jeff Schneider

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Nonparametric Divergence Estimation and its Applications to Machine Learning, Barnabas Poczos, Liang Xiong, and Jeff Schneider

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Target Sequence Clustering, Benjamin Shih

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StructHDP: automatic inference of number of clusters and population structure from admixed genotype data., Suyash Shringarpure, Daegun Won, and Eric P. Xing

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Kernel Embeddings of Latent Tree Graphical Models, Le Song, Ankur P. Parikh, and Eric P. Xing

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Separation theorem for independent subspace analysis and its consequences, Zoltan Szabo, Barnabas Poczos, and Andras Lorincz

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Group Anomaly Detection using Flexible Genre Models, Liang Xiong, Barnabas Poczos, and Jeff Schneider

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Hierarchical Probabilistic Models for Group Anomaly Detection, Liang Xiong, Barnabas Poczos, Jeff Schneider, Andrew Connolly, and Jake VanderPlas

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An Instantiation-Based Theorem Prover for First-Order Programming, Erik Zawadski, Geoffrey J. Gordon, and Andre Platzer

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Large-Scale Category Structure Aware Image Categorization, Bin Zhou, Li Fei-Fei, and Eric P. Xing

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Online Detection of Unusual Events in Videos via Dynamic Sparse Coding, Bin Zhou, Li Fei-Fei, and Eric P. Xing

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Infinite Latent SVM for Classification and Multi-task Learning, Jun Zhu, Ning Chen, and Eric P. Xing

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Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines, Jun Zhu, Ning Chen, and Eric P. Xing

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Sparse Topical Coding, Jun Zhu and Eric P. Xing

Submissions from 2010

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Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature., Amr Ahmed, Andrew Arnold, Luis Pedro Coelho, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, and Robert F. Murphy

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Staying Informed: Supervised and Semi-Supervised Multi-view Topical Analysis of Ideological Perspective, Amr Ahmed and Eric P. Xing

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Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream, Amr Ahmed and Eric P. Xing

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Node Clustering in Graphs: An Empirical Study, Ramnath Balasubramanyan, Frank Lin, and William W. Cohen

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Predictive State Temporal Difference Learning, Byron Boots and Geoffrey J. Gordon

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Closing the Learning-Planning Loop with Predictive State Representations, Byron Boots, Sajid M. Siddiqi, and Geoffrey J. Gordon

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Predictive Subspace Learning for Multi-view Data: a Large Margin Approach, Ning Chen, Jun Zhu, and Eric P. Xing

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A Latent Variable Model for Geographic Lexical Variation, Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, and Eric P. Xing

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Discrete temporal models of social networks, Steve Hanneke, Wenjie Fu, and Eric P. Xing

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Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks, Qirong Ho, Ankur P. Parikh, Le Song, and Eric P. Xing

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Modeling and Analysis of Dynamic Behaviors of Web Image Collections, Gunhee Kim, Eric P. Xing, and Antonio Torralba

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Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity, Seyoung Kim and Eric P. Xing

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On Sparse Nonparametric Conditional Covariance Selection, Mladen Kolar, Ankur P. Parikh, and Eric P. Xing

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Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach, Mladen Kolar and Eric P. Xing

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Relational retrieval using a combination of path-constrained random walks, Ni Lao and William W. Cohen

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Learning to Tag from Open Vocabulary Labels, Edith L.M. Law, Burr Settles, and Tom Mitchell

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MoGUL: Detecting Common Insertions and Deletions in a Population, Seunghak Lee, Eric P. Xing, and Michael Brudno

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Adaptive Multi-Task Lasso: with application to eQTL detection, Seunghak Lee, Jun Zhu, and Eric P. Xing

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Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification, Li-Jia Li, Hao Su, Fei-Fei Li, and Eric P. Xing

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Budgeted Distribution Learning of Belief Net Parameters, Liuyang Li, Barnabas Poczos, Csaba Szepesvari, and Russ Greiner

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A Very Fast Method for Clustering Big Text Datasets, Frank Lin and William W. Cohen

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Power Iteration Clustering, Frank Lin and William W. Cohen

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Nonparametric Learning in High Dimensions, Han Liu

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Online Multiple Kernel Learning for Structured Prediction, Andre F.T. Martins, Noah A. Smith, Eric P. Xing, Pedro M.Q. Aguiar, and Mario A. T. Figueiredo

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Turbo Parsers: Dependency Parsing by Approximate Variational Inference, Andre F.T. Martins, Noah A. Smith, Eric P. Xing, Pedro M.Q. Aguiar, and Mario A. T. Figueiredo

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Structural Analysis of Large Networks: Observations and Applications, Mary McGlohon

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SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images., Kriti Puniyani, Christos Faloutsos, and Eric P. Xing

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Multi-population GWA mapping via multi-task regularized regression., Kriti Puniyani, Seyoung Kim, and Eric P. Xing

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Automatic state discovery for unstructured audio scene classification, Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, and Abishek Sharma

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Identifying graph-structured activation patterns in networks, James Sharpnack and Aarti Singh

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Reduced-Rank Hidden Markov Models, Sajid M. Siddiqi, Byron Boots, and Geoffrey J. Gordon

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Detecting Weak but Hierarchically-Structured Patterns in Networks, Aarti Singh, Robert Nowak, and Robert Calderbank

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A Bayesian Matrix Factorization Model for Relational Data, Ajit P. Singh and Geoffrey J. Gordon

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Hilbert Space Embeddings of Hidden Markov Models, Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, and Alex Smola

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Anomaly Detection for Astronomical Data, Liang Xiong, Barnabas Poczos, Andrew Connolly, and Jeff Schneider

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Image Segmentation with Topic Random Field, Bin Zhou, Fei-Fei Li, and Eric P. Xing

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Large Margin Learning of Upstream Scene Understanding Models, Jun Zhu, Li-Jia Li, Fei-Fei Li, and Eric P. Xing

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Conditional Topic Random Fields, Jun Zhu and Eric P. Xing

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Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy, Brian D. Ziebart

Submissions from 2009

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Coupling Semi-Supervised Learning of Categories and Relations, Andrew Carlson, Justin Betteridge, Estevam Hruschka Jr., and Tom M. Mitchell

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Multi-Manifold Semi-Supervised Learning, Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, and Robert Nowak

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Populating the Semantic Web by Macro-Reading Internet Text, Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevan Hruschka, and Richard Wang

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Zero-Shot Learning with Semantic Output Codes, Mark M. Palatucci, Dean A. Pomerleau, Geoffrey E. Hinton, and Tom Mitchell

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Integrating Multiple-Study Multiple-Subject fMRI Datasets Using Canonical Correlation Analysis, Indrayana Rustandi, Marcel Adam Just, and Tom Mitchell