Lawrence Carin

According to our database1, Lawrence Carin authored at least 348 papers between 1997 and 2019.

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2019
A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC.
SCIENCE CHINA Information Sciences, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Gromov-Wasserstein Learning for Graph Matching and Node Embedding.
Proceedings of the 36th International Conference on Machine Learning, 2019

Variational Annealing of GANs: A Langevin Perspective.
Proceedings of the 36th International Conference on Machine Learning, 2019

Revisiting the Softmax Bellman Operator: New Benefits and New Perspective.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Blockmodels meet Graph Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

GO Gradient for Expectation-Based Objectives.
Proceedings of the 7th International Conference on Learning Representations, 2019

Improving Sequence-to-Sequence Learning via Optimal Transport.
Proceedings of the 7th International Conference on Learning Representations, 2019

Scalable Thompson Sampling via Optimal Transport.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

On Connecting Stochastic Gradient MCMC and Differential Privacy.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Adversarial Learning of a Sampler Based on an Unnormalized Distribution.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Syntax-Infused Variational Autoencoder for Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Communication-Efficient Stochastic Gradient MCMC for Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Diffusion Maps for Textual Network Embedding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distilled Wasserstein Learning for Word Embedding and Topic Modeling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Text Generation via Feature-Mover's Distance.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Anomaly detection for medical images based on a one-class classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Policy Optimization as Wasserstein Gradient Flows.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Registered Point Processes from Idiosyncratic Observations.
Proceedings of the 35th International Conference on Machine Learning, 2018

Chi-square Generative Adversarial Network.
Proceedings of the 35th International Conference on Machine Learning, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.
Proceedings of the 35th International Conference on Machine Learning, 2018

Variational Inference and Model Selection with Generalized Evidence Bounds.
Proceedings of the 35th International Conference on Machine Learning, 2018

Continuous-Time Flows for Efficient Inference and Density Estimation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Time-to-Event Modeling.
Proceedings of the 35th International Conference on Machine Learning, 2018

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Context-Aware Convolutional Filters for Text Processing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research.
Proceedings of the AMIA 2018, 2018

Learning Structural Weight Uncertainty for Sequential Decision-Making.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Benefits from Superposed Hawkes Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Topic Compositional Neural Language Model.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Joint Embedding of Words and Labels for Text Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deconvolutional Latent-Variable Model for Text Sequence Matching.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Feature Abstraction for Translating Video to Text.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Video Generation From Text.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-Ray Coherent Scatter Imaging.
IEEE Trans. Computational Imaging, 2017

Information-Theoretic Compressive Measurement Design.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deconvolutional Paragraph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scalable Model Selection for Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Symmetric Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

VAE Learning via Stein Variational Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Targeting EEG/LFP Synchrony with Neural Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Cross-Spectral Factor Analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

An inner-loop free solution to inverse problems using deep neural networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Adversarial Feature Matching for Text Generation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Gradient Monomial Gamma Sampler.
Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Generative Models for Relational Data with Side Information.
Proceedings of the 34th International Conference on Machine Learning, 2017

Adaptive Feature Abstraction for Translating Video to Language.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Generic Sentence Representations Using Convolutional Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantic Compositional Networks for Visual Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population.
Proceedings of the AMIA 2017, 2017

Guiding Principles for the Duke Connected Care Predictive Modeling Pilot.
Proceedings of the AMIA 2017, 2017

Learning Structured Weight Uncertainty in Bayesian Neural Networks.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Unsupervised Learning with Truncated Gaussian Graphical Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Information Theory, 2016

Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world.
IEEE Signal Process. Mag., 2016

Stochastic Spectral Descent for Discrete Graphical Models.
J. Sel. Topics Signal Processing, 2016

Electronic Health Record Analysis via Deep Poisson Factor Models.
J. Mach. Learn. Res., 2016

Laplacian Hamiltonian Monte Carlo.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Deep Metric Learning with Data Summarization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Linear Feature Encoding for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Variational Autoencoder for Deep Learning of Images, Labels and Captions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Gradient MCMC with Stale Gradients.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Factored Temporal Sigmoid Belief Networks for Sequence Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Dynamic Poisson Factor Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A general framework for reconstruction and classification from compressive measurements with side information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

A Deep Generative Deconvolutional Image Model.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Topic-Based Embeddings for Learning from Large Knowledge Graphs.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Variational Gaussian Copula Inference.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Solving DEC-POMDPs by Expectation Maximization of Value Function.
Proceedings of the 2016 AAAI Spring Symposia, 2016

Learning a Hybrid Architecture for Sequence Regression and Annotation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Inference of gene networks associated with the host response to infectious disease.
Proceedings of the Big Data over Networks, 2016

2015
Compressive Sensing by Learning a Gaussian Mixture Model From Measurements.
IEEE Trans. Image Processing, 2015

Multivariate time-series analysis and diffusion maps.
Signal Processing, 2015

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sciences, 2015

Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise.
SIAM J. Imaging Sciences, 2015

Negative Binomial Process Count and Mixture Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Bayesian Nonparametric Approach to Image Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure.
Neuroinformatics, 2015

Compressive Hyperspectral Imaging With Side Information.
J. Sel. Topics Signal Processing, 2015

A Generative Model for Deep Convolutional Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

GP Kernels for Cross-Spectrum Analysis.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Poisson Factor Modeling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Temporal Sigmoid Belief Networks for Sequence Modeling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Preconditioned Spectral Descent for Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

A concentration-of-measure inequality for multiple-measurement models.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Classification and reconstruction of compressed GMM signals with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Scalable Probabilistic Tensor Factorization for Binary and Count Data.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Stick-Breaking Policy Learning in Dec-POMDPs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A Multitask Point Process Predictive Model.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Scalable Deep Poisson Factor Analysis for Topic Modeling.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Learning Deep Sigmoid Belief Networks with Data Augmentation.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Stochastic Spectral Descent for Restricted Boltzmann Machines.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Leveraging Features and Networks for Probabilistic Tensor Decomposition.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Hierarchical Infinite Divisibility for Multiscale Shrinkage.
IEEE Trans. Signal Processing, 2014

Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements.
IEEE Trans. Signal Processing, 2014

A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels.
IEEE Trans. Information Theory, 2014

Video Compressive Sensing Using Gaussian Mixture Models.
IEEE Trans. Image Processing, 2014

Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling.
IEEE Trans. Biomed. Engineering, 2014

Compressive Coded Aperture Spectral Imaging: An Introduction.
IEEE Signal Process. Mag., 2014

Generalized Alternating Projection for Weighted-퓁2, 1 Minimization with Applications to Model-Based Compressive Sensing.
SIAM J. Imaging Sciences, 2014

Bayesian joint analysis of heterogeneous genomics data.
Bioinformatics, 2014

Compressive Sensing of Signals from a GMM with Sparse Precision Matrices.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analysis of Brain States from Multi-Region LFP Time-Series.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Dynamic Rank Factor Model for Text Streams.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the relations of LFPs & Neural Spike Trains.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nonlinear Information-Theoretic Compressive Measurement Design.
Proceedings of the 31th International Conference on Machine Learning, 2014

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors.
Proceedings of the 31th International Conference on Machine Learning, 2014

Modeling Correlated Arrival Events with Latent Semi-Markov Processes.
Proceedings of the 31th International Conference on Machine Learning, 2014

Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Low-Cost Compressive Sensing for Color Video and Depth.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Latent Gaussian Models for Topic Modeling.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models.
IEEE Trans. Signal Processing, 2013

Coded Hyperspectral Imaging and Blind Compressive Sensing.
SIAM J. Imaging Sciences, 2013

Deep Learning with Hierarchical Convolutional Factor Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Analysis of space-time relational data with application to legislative voting.
Computational Statistics & Data Analysis, 2013

Designed Measurements for Vector Count Data.
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

Integrated Non-Factorized Variational Inference.
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

Real-Time Inference for a Gamma Process Model of Neural Spiking.
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

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture.
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

Generalized Bregman divergence and gradient of mutual information for vector Poisson channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Online Expectation Maximization for Reinforcement Learning in POMDPs.
Proceedings of the IJCAI 2013, 2013

Exploring the Mind: Integrating Questionnaires and fMRI.
Proceedings of the 30th International Conference on Machine Learning, 2013

Adaptive temporal compressive sensing for video.
Proceedings of the IEEE International Conference on Image Processing, 2013

Gaussian mixture model for video compressive sensing.
Proceedings of the IEEE International Conference on Image Processing, 2013

Compressive sensing for incoherent imaging systems with optical constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Test-size Reduction for Concept Estimation.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Patient Clustering with Uncoded Text in Electronic Medical Records.
Proceedings of the AMIA 2013, 2013

2012
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images.
IEEE Trans. Image Processing, 2012

High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.
IEEE Signal Process. Mag., 2012

Dictionary Learning for Noisy and Incomplete Hyperspectral Images.
SIAM J. Imaging Sciences, 2012

Communications-Inspired Projection Design with Application to Compressive Sensing.
SIAM J. Imaging Sciences, 2012

Beta-Negative Binomial Process and Poisson Factor Analysis.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Nested Dictionary Learning for Hierarchical Organization of Imagery and Text.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Active learning for large-scale factor analysis.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Augment-and-Conquer Negative Binomial Processes.
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

Joint Modeling of a Matrix with Associated Text via Latent Binary Features.
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

Active learning for online bayesian matrix factorization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

The contextual focused topic model.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Lognormal and Gamma Mixed Negative Binomial Regression.
Proceedings of the 29th International Conference on Machine Learning, 2012

Levy Measure Decompositions for the Beta and Gamma Processes.
Proceedings of the 29th International Conference on Machine Learning, 2012

Inferring Latent Structure From Mixed Real and Categorical Relational Data.
Proceedings of the 29th International Conference on Machine Learning, 2012

Cross-Domain Multitask Learning with Latent Probit Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

Communications Inspired Linear Discriminant Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

Hierarchical factor modeling of proteomics data.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

Online Bayesian dictionary learning for large datasets.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Adapted statistical compressive sensing: Learning to sense gaussian mixture models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

How to focus the discriminative power of a dictionary.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds".
IEEE Trans. Signal Processing, 2011

Bayesian Robust Principal Component Analysis.
IEEE Trans. Image Processing, 2011

Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2011

Detection of Viruses Via Statistical Gene Expression Analysis.
IEEE Trans. Biomed. Engineering, 2011

Learning Low-Dimensional Signal Models.
IEEE Signal Process. Mag., 2011

Dependent Hierarchical Beta Process for Image Interpolation and Denoising.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Logistic Stick-Breaking Process.
J. Mach. Learn. Res., 2011

Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices.
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

The Kernel Beta Process.
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

On the Analysis of Multi-Channel Neural Spike Data.
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

Tree-Structured Infinite Sparse Factor Model.
Proceedings of the 28th International Conference on Machine Learning, 2011

Variational Inference for Stick-Breaking Beta Process Priors.
Proceedings of the 28th International Conference on Machine Learning, 2011

The Infinite Regionalized Policy Representation.
Proceedings of the 28th International Conference on Machine Learning, 2011

On the Integration of Topic Modeling and Dictionary Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Topic Modeling with Nonparametric Markov Tree.
Proceedings of the 28th International Conference on Machine Learning, 2011

Covariate-dependent dictionary learning and sparse coding.
Proceedings of the IEEE International Conference on Acoustics, 2011

Time-evolving modeling of social networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

Joint dictionary learning and topic modeling for image clustering.
Proceedings of the IEEE International Conference on Acoustics, 2011

Nonparametric Bayesian feature selection for multi-task learning.
Proceedings of the IEEE International Conference on Acoustics, 2011

Bayesian topic models for describing computer network behaviors.
Proceedings of the IEEE International Conference on Acoustics, 2011

Non-parametric Bayesian modeling and fusion of spatio-temporal information sources.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Active learning and basis selection for kernel-based linear models: a Bayesian perspective.
IEEE Trans. Signal Processing, 2010

Sticky hidden Markov modeling of comparative genomic hybridization.
IEEE Trans. Signal Processing, 2010

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.
IEEE Trans. Signal Processing, 2010

Sparse Signal Recovery and Acquisition with Graphical Models.
IEEE Signal Process. Mag., 2010

Probabilistic Topic Models.
IEEE Signal Process. Mag., 2010

Tree-Structured Compressive Sensing With Variational Bayesian Analysis.
IEEE Signal Process. Lett., 2010

Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Classification with Incomplete Data Using Dirichlet Process Priors.
J. Mach. Learn. Res., 2010

Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies.
BMC Bioinformatics, 2010

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents.
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

A Stick-Breaking Construction of the Beta Process.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors.
Proceedings of the International Conference on Image Processing, 2010

Discriminative sparse representations in hyperspectral imagery.
Proceedings of the International Conference on Image Processing, 2010

A nonparametric Bayesian model for kernel matrix completion.
Proceedings of the IEEE International Conference on Acoustics, 2010

Sparse linear regression with beta process priors.
Proceedings of the IEEE International Conference on Acoustics, 2010

Invited Talk Abstracts.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Hidden Markov models with stick-breaking priors.
IEEE Trans. Signal Processing, 2009

Multitask Compressive Sensing.
IEEE Trans. Signal Processing, 2009

Exploiting structure in wavelet-based Bayesian compressive sensing.
IEEE Trans. Signal Processing, 2009

Kernel-Matching Pursuits With Arbitrary Loss Functions.
IEEE Trans. Neural Networks, 2009

Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing.
IEEE Trans. Geoscience and Remote Sensing, 2009

Semisupervised Multitask Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Semisupervised Learning of Hidden Markov Models via a Homotopy Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Multi-task Reinforcement Learning in Partially Observable Stochastic Environments.
J. Mach. Learn. Res., 2009

Compressive sensing for multi-static scattering analysis.
J. Comput. Physics, 2009

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations.
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

A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.
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

Learning to Explore and Exploit in POMDPs.
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

Nonparametric factor analysis with beta process priors.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Multi-task classification with infinite local experts.
Proceedings of the IEEE International Conference on Acoustics, 2009

Music analysis with a Bayesian dynamic model.
Proceedings of the IEEE International Conference on Acoustics, 2009

Dirichlet process mixture models with multiple modalities.
Proceedings of the IEEE International Conference on Acoustics, 2009

Active learning for semi-supervised multi-task learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data.
IEEE Trans. Signal Processing, 2008

Bayesian Compressive Sensing.
IEEE Trans. Signal Processing, 2008

Infinite Hidden Markov Models for Unusual-Event Detection in Video.
IEEE Trans. Image Processing, 2008

Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning.
IEEE Trans. Geoscience and Remote Sensing, 2008

An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination.
IEEE Trans. Geoscience and Remote Sensing, 2008

Multitask Classification by Learning the Task Relevance.
IEEE Signal Process. Lett., 2008

Cybersecurity Strategies: The QuERIES Methodology.
IEEE Computer, 2008

The ATR Center and ATRpedia.
Proceedings of the Visual Information Processing XVII, 2008

The dynamic hierarchical Dirichlet process.
Proceedings of the Machine Learning, 2008

Multi-task compressive sensing with Dirichlet process priors.
Proceedings of the Machine Learning, 2008

Hierarchical kernel stick-breaking process for multi-task image analysis.
Proceedings of the Machine Learning, 2008

2007
Music Analysis Using Hidden Markov Mixture Models.
IEEE Trans. Signal Processing, 2007

Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes.
IEEE Trans. Signal Processing, 2007

Three-Dimensional Bayesian Inversion With Application to Subsurface Sensing.
IEEE Trans. Geoscience and Remote Sensing, 2007

Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data.
IEEE Trans. Geoscience and Remote Sensing, 2007

Electromagnetic Target Detection in Uncertain Media: Time-Reversal and Minimum-Variance Algorithms.
IEEE Trans. Geoscience and Remote Sensing, 2007

Adaptive Multimodality Sensing of Landmines.
IEEE Trans. Geoscience and Remote Sensing, 2007

Cost-sensitive feature acquisition and classification.
Pattern Recognition, 2007

On Classification with Incomplete Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Bivariate Gaussian Model for Unexploded Ordnance Classification with EMI Data.
IEEE Geosci. Remote Sensing Lett., 2007

Multi-Task Learning for Classification with Dirichlet Process Priors.
J. Mach. Learn. Res., 2007

Volumetric fast multipole method for modeling Schrödinger's equation.
J. Comput. Physics, 2007

Semi-Supervised Multitask Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

The matrix stick-breaking process for flexible multi-task learning.
Proceedings of the Machine Learning, 2007

Multi-task learning for sequential data via iHMMs and the nested Dirichlet process.
Proceedings of the Machine Learning, 2007

Quadratically gated mixture of experts for incomplete data classification.
Proceedings of the Machine Learning, 2007

Bayesian compressive sensing and projection optimization.
Proceedings of the Machine Learning, 2007

Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video.
Proceedings of the International Conference on Image Processing, 2007

Dirichlet Process HMM Mixture Models with Application to Music Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model.
Proceedings of the IEEE International Conference on Acoustics, 2007

Learning Classifiers on a Partially Labeled Data Manifold.
Proceedings of the IEEE International Conference on Acoustics, 2007

Wideband Array Imaging of a Target Situated in an Unknown Random Media.
Proceedings of the IEEE International Conference on Acoustics, 2007

Point-Based Policy Iteration.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Texture analysis with variational hidden Markov trees.
IEEE Trans. Signal Processing, 2006

A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure.
IEEE Trans. Image Processing, 2006

Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method.
SIAM J. Scientific Computing, 2006

Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation.
Computer Physics Communications, 2006

Region-based value iteration for partially observable Markov decision processes.
Proceedings of the Machine Learning, 2006

A Reward-Directed Bayesian Classifier.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Incremental Least Squares Policy Iteration for POMDPs.
Proceedings of the Proceedings, 2006

2005
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Direct algorithm for computation of derivatives of the Daubechies basis functions.
Applied Mathematics and Computation, 2005

Radial Basis Function Network for Multi-task Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Incomplete-data classification using logistic regression.
Proceedings of the Machine Learning, 2005

Logistic regression with an auxiliary data source.
Proceedings of the Machine Learning, 2005

A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Application of the biorthogonal multiresolution time-domain method to the analysis of elastic-wave interactions with buried targets.
IEEE Trans. Geoscience and Remote Sensing, 2004

Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO.
IEEE Trans. Geoscience and Remote Sensing, 2004

Three-dimensional inverse scattering of a dielectric target embedded in a lossy half-space.
IEEE Trans. Geoscience and Remote Sensing, 2004

Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Bayesian Approach to Joint Feature Selection and Classifier Design.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data.
Journal of Computational Biology, 2004

On Semi-Supervised Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Active selection of labeled data for target detection.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Airport detection in large aerial optical imagery.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Adaptive multi-aspect target classification and detection with hidden Markov models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Time-reversal imaging and classification for distant targets in a shallow water channel.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Quantization of multiaspect scattering data: target classification and pose estimation.
IEEE Trans. Signal Processing, 2003

Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing.
IEEE Trans. Geoscience and Remote Sensing, 2003

Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space.
IEEE Trans. Geoscience and Remote Sensing, 2003

Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Unexploded ordnance detection using Bayesian physics-based data fusion.
Integrated Computer-Aided Engineering, 2003

Joint classifier and feature optimization for cancer diagnosis using gene expression data.
Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

Time-reversal imaging for wideband underwater target classification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

ICA with multiple quadratic constraints.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Context-based graphical modeling for wavelet domain signal processing.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Rate-Distortion Bound for Joint Compression and Classification.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

2002
Infrared-Image Classification Using Hidden Markov Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models.
Proceedings of the 6th Joint Conference on Information Science, 2002

Model-based statistical sensor fusion for unexploded ordnance detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

HMM-based multiresolution image segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2002

Class-based target classification in shallow water channel based on Hidden Markov Model.
Proceedings of the IEEE International Conference on Acoustics, 2002

ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals.
Proceedings of the IEEE International Conference on Acoustics, 2002

Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models.
Proceedings of the IEEE International Conference on Acoustics, 2002

Infrared-image classification using support vector machines.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Multi-aspect target detection for SAR imagery using hidden Markov models.
IEEE Trans. Geoscience and Remote Sensing, 2001

Rigorous modeling of ultrawideband VHF scattering from tree trunks over flat and. sloped terrain.
IEEE Trans. Geoscience and Remote Sensing, 2001

Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar.
IEEE Trans. Geoscience and Remote Sensing, 2001

Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface.
IEEE Trans. Geoscience and Remote Sensing, 2001

On the wideband EMI response of a rotationally symmetric permeable and conducting target.
IEEE Trans. Geoscience and Remote Sensing, 2001

Foreword.
IEEE Trans. Geoscience and Remote Sensing, 2001

A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection.
IEEE Trans. Fuzzy Systems, 2001

Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.
Signal Processing, 2001

Genetic Algorithm Wavelet Design for Signal Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Identification of ground targets from sequential HRR radar signatures.
Proceedings of the IEEE International Conference on Acoustics, 2001

Markov modeling of transient scattering and its application in multi-aspect target classification.
Proceedings of the IEEE International Conference on Acoustics, 2001

Class-based identification of underwater targets using hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2001

Infrared-image classification using expansion matching filters and hidden Markov trees.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Analysis of the electromagnetic inductive response of a void in a conducting-soil background.
IEEE Trans. Geoscience and Remote Sensing, 2000

Multilevel fast-multipole algorithm for scattering from conducting targets above or embedded in a lossy half space.
IEEE Trans. Geoscience and Remote Sensing, 2000

Classification of landmine-like metal targets using wideband electromagnetic induction.
IEEE Trans. Geoscience and Remote Sensing, 2000

1999
Hidden Markov models for multiaspect target classification.
IEEE Trans. Signal Processing, 1999

Wide-band VHF scattering from a trihedral reflector situated above a lossy dispersive halfspace.
IEEE Trans. Geoscience and Remote Sensing, 1999

Short-pulse electromagnetic scattering from arbitrarily oriented subsurface ordnance.
IEEE Trans. Geoscience and Remote Sensing, 1999

On the low-frequency natural response of conducting and permeable targets.
IEEE Trans. Geoscience and Remote Sensing, 1999

An improved Bayesian decision theoretic approach for land mine detection.
IEEE Trans. Geoscience and Remote Sensing, 1999

Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Classification of landmine-like metal targets using wideband electromagnetic induction.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Physics-based classification of targets in SAR imagery using subaperture sequences.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Polarimetric SAR imaging of buried landmines.
IEEE Trans. Geoscience and Remote Sensing, 1998

1997
Matching pursuits with a wave-based dictionary.
IEEE Trans. Signal Processing, 1997

Ultra-wideband, short-pulse ground-penetrating radar: simulation and measurement.
IEEE Trans. Geoscience and Remote Sensing, 1997

Random Neural Network Recognition of Shaped Objects in Strong Clutter.
Proceedings of the Artificial Neural Networks, 1997


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