ResearchTrend.AI
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis

V. Sivakumar
Zhiwei Steven Wu
A. Banerjee
ArXivPDFHTML

Papers citing "Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis"

5 / 5 papers shown
Title
The Externalities of Exploration and How Data Diversity Helps Exploitation
The Externalities of Exploration and How Data Diversity Helps Exploitation
Manish Raghavan
Aleksandrs Slivkins
Jennifer Wortman Vaughan
Zhiwei Steven Wu
172
52
0
01 Jun 2018
Dynamic Pricing in High-dimensions
Dynamic Pricing in High-dimensions
Adel Javanmard
Hamid Nazerzadeh
162
138
0
24 Sep 2016
Thompson Sampling for Contextual Bandits with Linear Payoffs
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal
Navin Goyal
166
997
0
15 Sep 2012
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
177
1,338
0
03 Dec 2010
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
350
1,378
0
13 Oct 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.