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1610.05604
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Dynamic Assortment Personalization in High Dimensions
18 October 2016
Nathan Kallus
Madeleine Udell
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Papers citing
"Dynamic Assortment Personalization in High Dimensions"
20 / 20 papers shown
Title
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Exponential Family Matrix Completion under Structural Constraints
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Dropping Convexity for Faster Semi-definite Optimization
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Collaboratively Learning Preferences from Ordinal Data
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Individualized Rank Aggregation using Nuclear Norm Regularization
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Generalized Low Rank Models
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From Predictive to Prescriptive Analytics
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Low-rank Matrix Completion using Alternating Minimization
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Praneeth Netrapalli
Sujay Sanghavi
224
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03 Dec 2012
1-Bit Matrix Completion
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Mary Wootters
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17 Sep 2012
PRISMA: PRoximal Iterative SMoothing Algorithm
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97
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The multi-armed bandit problem with covariates
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Philippe Rigollet
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HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
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Christopher Ré
Stephen J. Wright
211
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A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
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Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
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Nonparametric Bandits with Covariates
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08 Mar 2010
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
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Martin J. Wainwright
241
571
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27 Dec 2009
Contextual Bandits with Similarity Information
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486
450
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23 Jul 2009
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
283
719
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11 Jun 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
424
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28 Jun 2007
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