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Dynamic Assortment Personalization in High Dimensions
v1v2v3 (latest)

Dynamic Assortment Personalization in High Dimensions

18 October 2016
Nathan Kallus
Madeleine Udell
ArXiv (abs)PDFHTML

Papers citing "Dynamic Assortment Personalization in High Dimensions"

20 / 20 papers shown
Title
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
Shipra Agrawal
Vashist Avadhanula
Vineet Goyal
A. Zeevi
142
158
0
13 Jun 2017
Why are Big Data Matrices Approximately Low Rank?
Why are Big Data Matrices Approximately Low Rank?
Madeleine Udell
Alex Townsend
57
25
0
21 May 2017
Revealed Preference at Scale: Learning Personalized Preferences from
  Assortment Choices
Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices
Nathan Kallus
Madeleine Udell
50
11
0
17 Sep 2015
Exponential Family Matrix Completion under Structural Constraints
Exponential Family Matrix Completion under Structural Constraints
Suriya Gunasekar
Pradeep Ravikumar
Joydeep Ghosh
43
40
0
15 Sep 2015
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
88
173
0
14 Sep 2015
Collaboratively Learning Preferences from Ordinal Data
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh
K. K. Thekumparampil
Jiaming Xu
49
27
0
26 Jun 2015
Individualized Rank Aggregation using Nuclear Norm Regularization
Individualized Rank Aggregation using Nuclear Norm Regularization
Yu Lu
S. Negahban
76
44
0
03 Oct 2014
Generalized Low Rank Models
Generalized Low Rank Models
Madeleine Udell
Corinne Horn
R. Zadeh
Stephen P. Boyd
102
346
0
01 Oct 2014
From Predictive to Prescriptive Analytics
From Predictive to Prescriptive Analytics
Dimitris Bertsimas
Nathan Kallus
137
547
0
22 Feb 2014
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
224
1,068
0
03 Dec 2012
1-Bit Matrix Completion
1-Bit Matrix Completion
Mark A. Davenport
Y. Plan
E. Berg
Mary Wootters
221
353
0
17 Sep 2012
PRISMA: PRoximal Iterative SMoothing Algorithm
PRISMA: PRoximal Iterative SMoothing Algorithm
Francesco Orabona
Andreas Argyriou
Nathan Srebro
95
36
0
11 Jun 2012
The multi-armed bandit problem with covariates
The multi-armed bandit problem with covariates
Vianney Perchet
Philippe Rigollet
465
174
0
27 Oct 2011
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient
  Descent
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
209
2,273
0
28 Jun 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
486
1,379
0
13 Oct 2010
Nonparametric Bandits with Covariates
Nonparametric Bandits with Covariates
Philippe Rigollet
A. Zeevi
232
109
0
08 Mar 2010
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
241
571
0
27 Dec 2009
Contextual Bandits with Similarity Information
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
486
450
0
23 Jul 2009
Matrix Completion from Noisy Entries
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
283
719
0
11 Jun 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
421
3,773
0
28 Jun 2007
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