Biography

I am an Applied Scientist in the Personalization Sciences team at Amazon. Before joining Amazon, I was a Machine Learning Researcher in the Technicolor AI lab, Los Altos, CA. I was previously a recipient of the ICES Postdoctoral Fellowship at the department of Computer Science, University of Texas at Austin. I received my PhD in Electrical and Computer Engineering from the University of Wisconsin-Madison.

I am broadly interested in Statistical Machine Learning, Artificial Intelligence, Algorithms and Optimization.

• 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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