Eric P. Xing

According to our database1, Eric P. Xing authored at least 425 papers between 2001 and 2018.

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Bibliography

2018
Ensembles of Lasso Screening Rules.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.
Journal of Machine Learning Research, 2018

Multimodal Machine Learning for Automated ICD Coding.
CoRR, 2018

Fault Tolerance in Iterative-Convergent Machine Learning.
CoRR, 2018

Toward Understanding the Impact of Staleness in Distributed Machine Learning.
CoRR, 2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization.
CoRR, 2018

Sample Complexity of Nonparametric Semi-Supervised Learning.
CoRR, 2018

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks.
CoRR, 2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
CoRR, 2018

Hybrid Subspace Learning for High-Dimensional Data.
CoRR, 2018

Missing Value Imputation Based on Deep Generative Models.
CoRR, 2018

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images.
CoRR, 2018

Query-Conditioned Three-Player Adversarial Network for Video Summarization.
CoRR, 2018

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving.
CoRR, 2018

Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful.
CoRR, 2018

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio.
CoRR, 2018

Deep Generative Models with Learnable Knowledge Constraints.
CoRR, 2018

Gated Path Planning Networks.
CoRR, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.
CoRR, 2018

Rethinking Knowledge Graph Propagation for Zero-Shot Learning.
CoRR, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.
CoRR, 2018

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching.
CoRR, 2018

DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization.
CoRR, 2018

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation.
CoRR, 2018

Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering.
CoRR, 2018

Dynamic-structured Semantic Propagation Network.
CoRR, 2018

DAGs with NO TEARS: Smooth Optimization for Structure Learning.
CoRR, 2018

Neural Architecture Search with Bayesian Optimisation and Optimal Transport.
CoRR, 2018

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
CoRR, 2018

DiCE: The Infinitely Differentiable Monte-Carlo Estimator.
CoRR, 2018

Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering.
CoRR, 2018

Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms.
CoRR, 2018

Personalized Survival Prediction with Contextual Explanation Networks.
CoRR, 2018

The Intriguing Properties of Model Explanations.
CoRR, 2018

Unsupervised Real-to-Virtual Domain Unification for End-to-End Highway Driving.
CoRR, 2018

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption.
CoRR, 2018

Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder.
CoRR, 2018

Personalized regression enables sample-specific pan-cancer analysis.
Bioinformatics, 2018

Cavs: An Efficient Runtime System for Dynamic Neural Networks.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Litz: Elastic Framework for High-Performance Distributed Machine Learning.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Self-Training for Jointly Learning to Ask and Answer Questions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

SysML: On System and Algorithm Co-design for Practical Machine Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Parsing to Programs: A Framework for Situated QA.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Nonoverlap-Promoting Variable Selection.
Proceedings of the 35th International Conference on Machine Learning, 2018

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
Proceedings of the 35th International Conference on Machine Learning, 2018

Transformation Autoregressive Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Gated Path Planning Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

DiCE: The Infinitely Differentiable Monte Carlo Estimator.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Real-to-Virtual Domain Unification for End-to-End Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2018, 2018

Generative Semantic Manipulation with Mask-Contrasting GAN.
Proceedings of the Computer Vision - ECCV 2018, 2018

CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving.
Proceedings of the Computer Vision - ECCV 2018, 2018

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design.
Proceedings of the ACM Symposium on Cloud Computing, 2018

Query-Conditioned Three-Player Adversarial Network for Video Summarization.
Proceedings of the British Machine Vision Conference 2018, 2018

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching.
Proceedings of the British Machine Vision Conference 2018, 2018

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption.
Proceedings of the British Machine Vision Conference 2018, 2018

Few-Shot Semantic Segmentation with Prototype Learning.
Proceedings of the British Machine Vision Conference 2018, 2018

On the Automatic Generation of Medical Imaging Reports.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Neural Architecture for Automated ICD Coding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Semantic Pooling for Complex Event Analysis in Untrimmed Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning Scalable Deep Kernels with Recurrent Structure.
Journal of Machine Learning Research, 2017

Stability Selection for Structured Variable Selection.
CoRR, 2017

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks.
CoRR, 2017

Convolutional Neural Networks for Medical Diagnosis from Admission Notes.
CoRR, 2017

State Space LSTM Models with Particle MCMC Inference.
CoRR, 2017

Learning Less-Overlapping Representations.
CoRR, 2017

Diversity-Promoting Bayesian Learning of Latent Variable Models.
CoRR, 2017

On the Automatic Generation of Medical Imaging Reports.
CoRR, 2017

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.
CoRR, 2017

Techniques for proving Asynchronous Convergence results for Markov Chain Monte Carlo methods.
CoRR, 2017

Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning.
CoRR, 2017

A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction.
CoRR, 2017

Towards Automated ICD Coding Using Deep Learning.
CoRR, 2017

Predicting Discharge Medications at Admission Time Based on Deep Learning.
CoRR, 2017

Structured Generative Adversarial Networks.
CoRR, 2017

Generative Semantic Manipulation with Contrasting GAN.
CoRR, 2017

Dual Motion GAN for Future-Flow Embedded Video Prediction.
CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
CoRR, 2017

On the Origin of Deep Learning.
CoRR, 2017

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.
CoRR, 2017

Recurrent Estimation of Distributions.
CoRR, 2017

Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection.
CoRR, 2017

Interpretable Structure-Evolving LSTM.
CoRR, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.
CoRR, 2017

Visual Explanations for Convolutional Neural Networks via Input Resampling.
CoRR, 2017

On Unifying Deep Generative Models.
CoRR, 2017

Controllable Text Generation.
CoRR, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
CoRR, 2017

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning.
CoRR, 2017

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation.
CoRR, 2017

Contextual Explanation Networks.
CoRR, 2017

ZM-Net: Real-time Zero-shot Image Manipulation Network.
CoRR, 2017

Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.
Bioinformatics, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Near-Orthogonality Regularization in Kernel Methods.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Structured Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Uncorrelation and Evenness: a New Diversity-Promoting Regularizer.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Latent Space Models with Angular Constraints.
Proceedings of the 34th International Conference on Machine Learning, 2017

Post-Inference Prior Swapping.
Proceedings of the 34th International Conference on Machine Learning, 2017

Toward Controlled Generation of Text.
Proceedings of the 34th International Conference on Machine Learning, 2017

Select-additive learning: Improving generalization in multimodal sentiment analysis.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Deep Determinantal Point Process for Large-Scale Multi-label Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dual Motion GAN for Future-Flow Embedded Video Prediction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Interpretable Structure-Evolving LSTM.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Multiple Instance Metric Learning Using Weakly Supervised Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Constituent-Centric Neural Architecture for Reading Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel.
IEEE Trans. Signal Processing, 2016

Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning.
TKDD, 2016

Latent Space Inference of Internet-Scale Networks.
Journal of Machine Learning Research, 2016

An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.
Journal of Computational Biology, 2016

Sparse Output Coding for Scalable Visual Recognition.
International Journal of Computer Vision, 2016

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR, 2016

Learning Concept Taxonomies from Multi-modal Data.
CoRR, 2016

SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.
CoRR, 2016

Stochastic Variational Deep Kernel Learning.
CoRR, 2016

Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis.
CoRR, 2016

Science Question Answering using Instructional Materials.
CoRR, 2016

Prior Swapping for Data-Independent Inference.
CoRR, 2016

Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices.
CoRR, 2016

Harnessing Deep Neural Networks with Logic Rules.
CoRR, 2016

Learning Scalable Deep Kernels with Recurrent Structure.
CoRR, 2016

A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits.
Bioinformatics, 2016

A network-driven approach for genome-wide association mapping.
Bioinformatics, 2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Stochastic Variational Deep Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Variance Reduction in Stochastic Gradient Langevin Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Scalable Time-Decaying Adaptive Prediction Algorithm.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Grounding Topic Models with Knowledge Bases.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Diversity-Promoting Bayesian Learning of Latent Variable Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

STRADS: a distributed framework for scheduled model parallel machine learning.
Proceedings of the Eleventh European Conference on Computer Systems, 2016

GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server.
Proceedings of the Eleventh European Conference on Computer Systems, 2016

Deep Neural Networks with Massive Learned Knowledge.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Closed-Form Training of Mahalanobis Distance for Supervised Clustering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Advanced Machine Learning for Healthcare.
Proceedings of the Summit on Clinical Research Informatics, 2016

Addressing the straggler problem for iterative convergent parallel ML.
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Deep Kernel Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Bayesian Nonparametric Kernel-Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Scalable and Sound Low-Rank Tensor Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning Concept Taxonomies from Multi-modal Data.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Machine Comprehension using Rich Semantic Representations.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Easy Questions First? A Case Study on Curriculum Learning for Question Answering.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Science Question Answering using Instructional Materials.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Harnessing Deep Neural Networks with Logic Rules.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Collective Support Recovery for Multi-Design Multi-Response Linear Regression.
IEEE Trans. Information Theory, 2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.
IEEE Trans. Big Data, 2015

AD3: alternating directions dual decomposition for MAP inference in graphical models.
Journal of Machine Learning Research, 2015

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
CoRR, 2015

Strategies and Principles of Distributed Machine Learning on Big Data.
CoRR, 2015

Distributed Machine Learning via Sufficient Factor Broadcasting.
CoRR, 2015

Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization.
CoRR, 2015

On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization.
CoRR, 2015

Deep Kernel Learning.
CoRR, 2015

The Human Kernel.
CoRR, 2015

Embarrassingly Parallel Variational Inference in Nonconjugate Models.
CoRR, 2015

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums.
CoRR, 2015

Kernel methods for large-scale genomic data analysis.
Briefings in Bioinformatics, 2015

LightLDA: Big Topic Models on Modest Computer Clusters.
Proceedings of the 24th International Conference on World Wide Web, 2015

Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Community Level Diffusion Extraction.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations.
Proceedings of the Research in Computational Molecular Biology, 2015

The Human Kernel.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Incorporating Word Correlation Knowledge into Topic Modeling.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Linear Time Samplers for Supervised Topic Models using Compositional Proposals.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Diversifying Restricted Boltzmann Machine for Document Modeling.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

An Active Learning Approach to Coreference Resolution.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Large-scale Distributed Dependent Nonparametric Trees.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Managed communication and consistency for fast data-parallel iterative analytics.
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

Toward personalized pan-omic association analysis under complex structures and big data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Minimizing Nonconvex Non-Separable Functions.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Fast Function to Function Regression.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Learning Answer-Entailing Structures for Machine Comprehension.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Entity Hierarchy Embedding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Integrating Image Clustering and Codebook Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Mining User Interests from Personal Photos.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Discriminative Training of Mixed Membership Models.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Population Stratification with Mixed Membership Models.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Analyzing Time-Evolving Networks.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Dynamic Language Models for Streaming Text.
TACL, 2014

Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm.
PLoS Computational Biology, 2014

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso.
Neural Computation, 2014

Bayesian inference with posterior regularization and applications to infinite latent SVMs.
Journal of Machine Learning Research, 2014

Graph estimation from multi-attribute data.
Journal of Machine Learning Research, 2014

Exploiting Genome Structure in Association Analysis.
Journal of Computational Biology, 2014

Model-Parallel Inference for Big Topic Models.
CoRR, 2014

LightLDA: Big Topic Models on Modest Compute Clusters.
CoRR, 2014

Cauchy Principal Component Analysis.
CoRR, 2014

Large Scale Distributed Distance Metric Learning.
CoRR, 2014

CryptGraph: Privacy Preserving Graph Analytics on Encrypted Graph.
CoRR, 2014

Large Scale Distributed Multiclass Logistic Regression.
CoRR, 2014

Fast Function to Function Regression.
CoRR, 2014

Screening Rules for Overlapping Group Lasso.
CoRR, 2014

Primitives for Dynamic Big Model Parallelism.
CoRR, 2014

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
CoRR, 2014

Spatial compactness meets topical consistency: jointly modeling links and content for community detection.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Visualizing brand associations from web community photos.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.
Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Asymptotically Exact, Embarrassingly Parallel MCMC.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Modeling Citation Networks Using Latent Random Offsets.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Dependent nonparametric trees for dynamic hierarchical clustering.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse sensor selection for nonparametric decentralized detection via L1 regularization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

ParLearning Keynote.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Language Modeling with Power Low Rank Ensembles.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Quasi Real-Time Summarization for Consumer Videos.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Hierarchical Feature Hashing for Fast Dimensionality Reduction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Exploiting iterative-ness for parallel ML computations.
Proceedings of the ACM Symposium on Cloud Computing, 2014

Fast Distribution To Real Regression.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Spectral Unsupervised Parsing with Additive Tree Metrics.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
GINI: From ISH Images to Gene Interaction Networks.
PLoS Computational Biology, 2013

NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources.
Journal of Computational Biology, 2013

Integrating Document Clustering and Topic Modeling.
CoRR, 2013

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.
CoRR, 2013

Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso.
CoRR, 2013

Language Modeling with Power Low Rank Ensembles.
CoRR, 2013

Fast Distribution To Real Regression.
CoRR, 2013

Asymptotically Exact, Embarrassingly Parallel MCMC.
CoRR, 2013

Structure-Aware Dynamic Scheduler for Parallel Machine Learning.
CoRR, 2013

Community Specific Temporal Topic Discovery from Social Media.
CoRR, 2013

Petuum: A Framework for Iterative-Convergent Distributed ML.
CoRR, 2013

Time-sensitive web image ranking and retrieval via dynamic multi-task regression.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Integrating Document Clustering and Topic Modeling.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

A Nonparametric Mixture Model for Topic Modeling over Time.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources.
Proceedings of the Research in Computational Molecular Biology, 2013

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Restricting exchangeable nonparametric distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Variance Reduction for Stochastic Gradient Optimization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Fast structure learning in generalized stochastic processes with latent factors.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-Modal Distance Metric Learning.
Proceedings of the IJCAI 2013, 2013

Scalable Dynamic Nonparametric Bayesian Models of Content and Users.
Proceedings of the IJCAI 2013, 2013

Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

An Adaptive Learning Rate for Stochastic Variational Inference.
Proceedings of the 30th International Conference on Machine Learning, 2013

Markov Network Estimation From Multi-attribute Data.
Proceedings of the 30th International Conference on Machine Learning, 2013

Solving the Straggler Problem with Bounded Staleness.
Proceedings of the 14th Workshop on Hot Topics in Operating Systems, 2013

Sparse Output Coding for Large-Scale Visual Recognition.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Block Regularized Lasso for Multivariate Multi-Response Linear Regression.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

MedLDA: maximum margin supervised topic models.
Journal of Machine Learning Research, 2012

Alternating Directions Dual Decomposition
CoRR, 2012

A Generalized Mean Field Algorithm for Variational Inference in Exponential Families
CoRR, 2012

Understanding the Interaction between Interests, Conversations and Friendships in Facebook
CoRR, 2012

Mapping the geographical diffusion of new words
CoRR, 2012

A Spectral Algorithm for Latent Junction Trees
CoRR, 2012

Bayesian Inference with Posterior Regularization and Infinite Latent Support Vector Machines
CoRR, 2012

Graph partition strategies for generalized mean field inference
CoRR, 2012

Mining Associated Text and Images with Dual-Wing Harmoniums
CoRR, 2012

Group Sparse Additive Models
CoRR, 2012

Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream
CoRR, 2012

Sparse Topical Coding
CoRR, 2012

Smoothing Proximal Gradient Method for General Structured Sparse Learning
CoRR, 2012

Enabling dynamic network analysis through visualization in TVNViewer.
BMC Bioinformatics, 2012

Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs.
Bioinformatics, 2012

Document hierarchies from text and links.
Proceedings of the 21st World Wide Web Conference 2012, 2012

A Spectral Algorithm for Latent Junction Trees.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Monte Carlo Methods for Maximum Margin Supervised Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Symmetric Correspondence Topic Models for Multilingual Text Analysis.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Web image prediction using multivariate point processes.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Nonparametric decentralized detection based on weighted count kernel.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Group Sparse Additive Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

Consistent Covariance Selection From Data With Missing Values.
Proceedings of the 29th International Conference on Machine Learning, 2012

Inferring Gene Interaction Networks from ISH Images via Kernelized Graphical Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

On multiple foreground cosegmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

TopicViz: interactive topic exploration in document collections.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012

Multi-Level Structured Image Coding on High-Dimensional Image Representation.
Proceedings of the Computer Vision, 2012

Supervised Probabilistic Robust Embedding with Sparse Noise.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Online Learning of Structured Predictors with Multiple Kernels.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

On Time Varying Undirected Graphs.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multiscale Community Blockmodel for Network Exploration.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

TopicScape: Semantic Navigation of Document Collections
CoRR, 2011

StructHDP: automatic inference of number of clusters and population structure from admixed genotype data.
Bioinformatics [ISMB/ECCB], 2011

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.
Bioinformatics [ISMB/ECCB], 2011

TVNViewer: An interactive visualization tool for exploring networks that change over time or space.
Bioinformatics [ISMB/ECCB], 2011

Unified analysis of streaming news.
Proceedings of the 20th International Conference on World Wide Web, 2011

Sparse Topical Coding.
Proceedings of the UAI 2011, 2011

Smoothing Proximal Gradient Method for General Structured Sparse Learning.
Proceedings of the UAI 2011, 2011

Infinite Latent SVM for Classification and Multi-task Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Large-Scale Category Structure Aware Image Categorization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Kernel Embeddings of Latent Tree Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Conditional topical coding: an efficient topic model conditioned on rich features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Genome-Phenome Association Analysis of Complex Diseases a Structured Sparse Regression Approach - (Keynote Talk).
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines.
Proceedings of the 28th International Conference on Machine Learning, 2011

A Spectral Algorithm for Latent Tree Graphical Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

An Augmented Lagrangian Approach to Constrained MAP Inference.
Proceedings of the 28th International Conference on Machine Learning, 2011

Approximating Correlated Equilibria using Relaxations on the Marginal Polytope.
Proceedings of the 28th International Conference on Machine Learning, 2011

Sparse Additive Generative Models of Text.
Proceedings of the 28th International Conference on Machine Learning, 2011

Distributed cosegmentation via submodular optimization on anisotropic diffusion.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Structured Databases of Named Entities from Bayesian Nonparametrics.
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011

Online detection of unusual events in videos via dynamic sparse coding.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Max margin learning on domain-independent web information extraction.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

GenAMap: Visualization strategies for structured association mapping.
Proceedings of the 2011 IEEE Symposium on Biological Data Visualization, 2011

Nonparametric decision making based on tree-structured information aggregation.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Discovering Sociolinguistic Associations with Structured Sparsity.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Structured literature image finder: Parsing text and figures in biomedical literature.
J. Web Sem., 2010

Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity
CoRR, 2010

Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
CoRR, 2010

Multi-population GWA mapping via multi-task regularized regression.
Bioinformatics [ISMB], 2010

SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.
Bioinformatics [ISMB], 2010

Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream.
Proceedings of the UAI 2010, 2010

MoGUL: Detecting Common Insertions and Deletions in a Population.
Proceedings of the Research in Computational Molecular Biology, 2010

Large Margin Learning of Upstream Scene Understanding Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Adaptive Multi-Task Lasso: with Application to eQTL Detection.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Conditional Topic Random Fields.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

On Sparse Nonparametric Conditional Covariance Selection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Turbo Parsers: Dependency Parsing by Approximate Variational Inference.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

A Latent Variable Model for Geographic Lexical Variation.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Image Segmentation with Topic Random Field.
Proceedings of the Computer Vision - ECCV 2010, 2010

Modeling and Analysis of Dynamic Behaviors of Web Image Collections.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
Maximum Entropy Discrimination Markov Networks.
Journal of Machine Learning Research, 2009

Nonextensive Information Theoretic Kernels on Measures.
Journal of Machine Learning Research, 2009

Network Completion and Survey Sampling.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

KELLER: estimating time-varying interactions between genes.
Bioinformatics, 2009

A multivariate regression approach to association analysis of a quantitative trait network.
Bioinformatics, 2009

DISCOVER: a feature-based discriminative method for motif search in complex genomes.
Bioinformatics, 2009

Heterogeneous multitask learning with joint sparsity constraints.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Time-Varying Dynamic Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Sparsistent Learning of Varying-coefficient Models with Structural Changes.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Primal sparse Max-margin Markov networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Structured correspondence topic models for mining captioned figures in biological literature.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

On primal and dual sparsity of Markov networks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

MedLDA: maximum margin supervised topic models for regression and classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Polyhedral outer approximations with application to natural language parsing.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Dynamic mixed membership blockmodel for evolving networks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Concise Integer Linear Programming Formulations for Dependency Parsing.
Proceedings of the ACL 2009, 2009

2008
Harmonium Models for Video Classification.
Statistical Analysis and Data Mining, 2008

C-DEM: a multi-modal query system for Drosophila Embryo databases.
PVLDB, 2008

CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing.
PLoS Computational Biology, 2008

Mixed Membership Stochastic Blockmodels.
Journal of Machine Learning Research, 2008

Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.
Journal of Computational Biology, 2008

Feature Selection via Block-Regularized Regression.
Proceedings of the UAI 2008, 2008

Semi-Supervised Learning Based on Semiparametric Regularization.
Proceedings of the SIAM International Conference on Data Mining, 2008

Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008

BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes.
Proceedings of the Research in Computational Molecular Biology, 2008

A Joint Topic and Perspective Model for Ideological Discourse.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Partially Observed Maximum Entropy Discrimination Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Mixed Membership Stochastic Blockmodels.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Joint latent topic models for text and citations.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

Laplace maximum margin Markov networks.
Proceedings of the Machine Learning, 2008

mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations.
Proceedings of the Machine Learning, 2008

Nonextensive entropic kernels.
Proceedings of the Machine Learning, 2008

Stacking Dependency Parsers.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.
Proceedings of the Computer Vision, 2008

2007
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Bayesian Haplotype Inference via the Dirichlet Process.
Journal of Computational Biology, 2007

Mixed membership stochastic blockmodels.
CoRR, 2007

Harmonium Models for Semantic Video Representation and Classification.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data.
Proceedings of the Research in Computational Molecular Biology, 2007

Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.
Proceedings of the Research in Computational Molecular Biology, 2007

HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Enhanced max margin learning on multimodal data mining in a multimedia database.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Spectrum: joint bayesian inference of population structure and recombination events.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Feature selection for grasp recognition from optical markers.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Probabilistic Graphical Models-Theory, Algorithm, and Application.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Recovering temporally rewiring networks: a model-based approach.
Proceedings of the Machine Learning, 2007

A Max Margin Framework on Image Annotation and Multimodal Image Retrieval.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Learning GMRF Structures for Spatial Priors.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Automatic mining of fruit fly embryo images.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.
Proceedings of the Machine Learning, 2006

Discrete Temporal Models of Social Networks.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

BiTAM: Bilingual Topic AdMixture Models for Word Alignment.
Proceedings of the ACL 2006, 2006

2005
Evaluation of normalization methods for cDNA microarray data by k-NN classification.
BMC Bioinformatics, 2005

Comparison of normalization methods for CodeLink Bioarray data.
BMC Bioinformatics, 2005

Mining Associated Text and Images with Dual-Wing Harmoniums.
Proceedings of the UAI '05, 2005

From Lasso regression to Feature vector machine.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A latent mixed membership model for relational data.
Proceedings of the 3rd international workshop on Link discovery, 2005

Predicting protein folds with structural repeats using a chain graph model.
Proceedings of the Machine Learning, 2005

Bilingual Word Spectral Clustering for Statistical Machine Translation.
Proceedings of the Workshop on Building and Using Parallel Texts@ACL 2005, 2005

2004
Logos: a Modular Bayesian Model for de Novo Motif Detection.
J. Bioinformatics and Computational Biology, 2004

Graph Partition Strategies for Generalized Mean Field Inference.
Proceedings of the UAI '04, 2004

Bayesian haplo-type inference via the dirichlet process.
Proceedings of the Machine Learning, 2004

2003
A generalized mean field algorithm for variational inference in exponential families.
Proceedings of the UAI '03, 2003

LOGOS: a modular Bayesian model for de novo motif detection.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002
Distance Metric Learning with Application to Clustering with Side-Information.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Feature selection for high-dimensional genomic microarray data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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