
Learning Robust Models for eCommerce Product Search
Showing items that do not match search query intent degrades customer ex...
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Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
In this paper, we consider recommender systems with side information in ...
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A Simple Approach to Learn Polysemous Word Embeddings
Many NLP applications require disambiguating polysemous words. Existing ...
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Matrix Factorization with Side and Higher Order Information
The problem of predicting unobserved entries of a partially observed mat...
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Discovery of Evolving Semantics through Dynamic Word Embedding Learning
During the course of human language evolution, the semantic meanings of ...
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On Learning High Dimensional Structured Single Index Models
Single Index Models (SIMs) are simple yet flexible semiparametric model...
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Structured Sparse Regression via Greedy HardThresholding
Several learning applications require solving highdimensional regressio...
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Highdimensional Time Series Prediction with Missing Values
Highdimensional time series prediction is needed in applications as div...
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Learning Single Index Models in High Dimensions
Single Index Models (SIMs) are simple yet flexible semiparametric model...
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Optimal LowRank Tensor Recovery from Separable Measurements: Four Contractions Suffice
Tensors play a central role in many modern machine learning and signal p...
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Forward  Backward Greedy Algorithms for Atomic Norm Regularization
In many signal processing applications, the aim is to reconstruct a sign...
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Classification with Sparse Overlapping Groups
Classification with a sparsity constraint on the solution plays a centra...
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Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Multitask learning can be effective when features useful in one task are...
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Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging
In applications ranging from communications to genetics, signals can be ...
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Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals
Standard compressive sensing results state that to exactly recover an s ...
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