Publications

  • Discovery of Evolving Semantics through Dynamic Word Embedding Learning

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  • The Group k-Support Norm for Learning with Structured Sparsity, ICASSP 2017

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  • On Learning High Dimensional Structured Single Index Models, AAAI 2017

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  • Classification with the Sparse Group Lasso, IEEE Trans. Signal Processing, 2016

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  • High Dimensional Time Series Prediction with Missing Values, NIPS 2016

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  • Structured Sparse Regression via Greedy Hard Thresholding, NIPS 2016

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  • Goal-Directed Inductive Matrix Completion, KDD 2016 (oral)

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  • Forward - Backward Greedy Algorithms for Atomic Norm Regularization, IEEE Trans. Signal Processing 2015

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  • Sparse and Low Rank Tensor Decomposition, NIPS 2015

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  • Collaborative Filtering with Graph Information: Consistency and Scalable Methods, NIPS 2015 (spotlight)

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  • PU Matrix Completion with Graph Information, IEEE CAMSAP 2015

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  • Forward - Backward Greedy Algorithms for Signal Demixing, Asilomar, 2014

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  • Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis, NIPS 2013 (spotlight)

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  • Adaptive Sensing with Structured Sparsity, IEEE ICASSP 2013

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  • A Greedy Forward-Backward Algorithm for Atomic Norm Constrained Minimization, ICASSP 2013

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  • Correlated Gaussian Designs for Compressive Imaging, IEEE ICIP, 2012

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  • A Clustering Approach to Optimize Online Dictionary Learning, ICASSP 2012

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  • Universal Measurement Bounds for Structured Sparse Signal Recovery, AISTATS 2012

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  • Convex Approaches to Model Wavelet Sparsity Patterns, IEEE ICIP 2011 (Best Student Paper Award)

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  • Using Machines to Improve Human Saliency Detection, Asilomar 2010 (oral)

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