ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.08403
  4. Cited By
Advertising Media and Target Audience Optimization via High-dimensional
  Bandits

Advertising Media and Target Audience Optimization via High-dimensional Bandits

17 September 2022
Wenjia Ba
J. Harrison
Harikesh S. Nair
ArXivPDFHTML

Papers citing "Advertising Media and Target Audience Optimization via High-dimensional Bandits"

16 / 16 papers shown
Title
Adaptive Experimentation with Delayed Binary Feedback
Adaptive Experimentation with Delayed Binary Feedback
Zenan Wang
Carlos Carrion
Xiliang Lin
Fuhua Ji
Yongjun Bao
Weipeng P. Yan
OffRL
37
7
0
02 Feb 2022
A Simple Unified Framework for High Dimensional Bandit Problems
A Simple Unified Framework for High Dimensional Bandit Problems
Wenjie Li
Adarsh Barik
Jean Honorio
76
24
0
18 Feb 2021
High-Dimensional Sparse Linear Bandits
High-Dimensional Sparse Linear Bandits
Botao Hao
Tor Lattimore
Mengdi Wang
67
62
0
08 Nov 2020
Comparison Lift: Bandit-based Experimentation System for Online
  Advertising
Comparison Lift: Bandit-based Experimentation System for Online Advertising
Tong Geng
Xiliang Lin
Harikesh S. Nair
Jun Hao
Bin Xiang
Shurui Fan
8
11
0
16 Sep 2020
Sparsity-Agnostic Lasso Bandit
Sparsity-Agnostic Lasso Bandit
Min Hwan Oh
G. Iyengar
A. Zeevi
43
45
0
16 Jul 2020
Policy Gradient Optimization of Thompson Sampling Policies
Policy Gradient Optimization of Thompson Sampling Policies
Seungki Min
C. Moallemi
Daniel Russo
18
9
0
30 Jun 2020
Online Causal Inference for Advertising in Real-Time Bidding Auctions
Online Causal Inference for Advertising in Real-Time Bidding Auctions
Caio Waisman
Harikesh S. Nair
Carlos Carrion
CML
28
9
0
22 Aug 2019
Doubly-Robust Lasso Bandit
Doubly-Robust Lasso Bandit
Gi-Soo Kim
M. Paik
51
62
0
26 Jul 2019
Online Evaluation of Audiences for Targeted Advertising via Bandit
  Experiments
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
Tong Geng
Xiliang Lin
Harikesh S. Nair
119
10
0
04 Jul 2019
Randomized Exploration in Generalized Linear Bandits
Randomized Exploration in Generalized Linear Bandits
Branislav Kveton
Manzil Zaheer
Csaba Szepesvári
Lihong Li
Mohammad Ghavamzadeh
Craig Boutilier
34
97
0
21 Jun 2019
Mostly Exploration-Free Algorithms for Contextual Bandits
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani
Mohsen Bayati
Khashayar Khosravi
261
157
0
28 Apr 2017
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal
Daniel J. Hsu
Satyen Kale
John Langford
Lihong Li
Robert Schapire
OffRL
285
505
0
04 Feb 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
180
767
0
13 Jun 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
173
1,130
0
03 Mar 2013
Bandit Theory meets Compressed Sensing for high dimensional Stochastic
  Linear Bandit
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier
Rémi Munos
70
102
0
18 May 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
363
2,944
0
28 Feb 2010
1