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Linear Contextual Bandits with Knapsacks

Linear Contextual Bandits with Knapsacks

24 July 2015
Shipra Agrawal
Nikhil R. Devanur
ArXivPDFHTML

Papers citing "Linear Contextual Bandits with Knapsacks"

32 / 32 papers shown
Title
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Jianyu Xu
Qiuzhuang Sun
Yang Yang
Huadong Mo
Daoyi Dong
83
0
0
24 Feb 2025
Bandits with Anytime Knapsacks
Bandits with Anytime Knapsacks
Eray Can Elumar
Cem Tekin
Osman Yagan
110
0
0
30 Jan 2025
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
Ruicheng Ao
Jiashuo Jiang
D. Simchi-Levi
78
2
0
24 Jan 2025
A Complete Characterization of Learnability for Stochastic Noisy Bandits
A Complete Characterization of Learnability for Stochastic Noisy Bandits
Steve Hanneke
Kun Wang
45
0
0
20 Jan 2025
No-Regret Algorithms in non-Truthful Auctions with Budget and ROI
  Constraints
No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints
Gagan Aggarwal
Giannis Fikioris
Mingfei Zhao
40
5
0
15 Apr 2024
Allocating Divisible Resources on Arms with Unknown and Random Rewards
Allocating Divisible Resources on Arms with Unknown and Random Rewards
Ningyuan Chen
Wenhao Li
24
0
0
28 Jun 2023
Trading-off price for data quality to achieve fair online allocation
Trading-off price for data quality to achieve fair online allocation
M. Molina
Nicolas Gast
P. Loiseau
Vianney Perchet
37
4
0
23 Jun 2023
Parameter-free projected gradient descent
Parameter-free projected gradient descent
Evgenii Chzhen
Christophe Giraud
Gilles Stoltz
26
4
0
31 May 2023
Optimal Contextual Bandits with Knapsacks under Realizability via
  Regression Oracles
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles
Yuxuan Han
Jialin Zeng
Yang Wang
Yangzhen Xiang
Jiheng Zhang
59
9
0
21 Oct 2022
Safe Linear Bandits over Unknown Polytopes
Safe Linear Bandits over Unknown Polytopes
Aditya Gangrade
Tianrui Chen
Venkatesh Saligrama
40
6
0
27 Sep 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem
Raunak Kumar
Robert D. Kleinberg
23
13
0
24 Sep 2022
Online Contextual Decision-Making with a Smart Predict-then-Optimize
  Method
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method
Heyuan Liu
Paul Grigas
27
8
0
15 Jun 2022
Contextual Bandits with Knapsacks for a Conversion Model
Contextual Bandits with Knapsacks for a Conversion Model
Zerui Li
Gilles Stoltz
68
3
0
01 Jun 2022
No-regret Learning in Repeated First-Price Auctions with Budget
  Constraints
No-regret Learning in Repeated First-Price Auctions with Budget Constraints
Rui Ai
Chang Wang
Chenchen Li
Jinshan Zhang
Wenhan Huang
Xiaotie Deng
35
10
0
29 May 2022
Bandit Algorithms for Precision Medicine
Bandit Algorithms for Precision Medicine
Yangyi Lu
Ziping Xu
Ambuj Tewari
66
11
0
10 Aug 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate
  Prediction
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
Fengtong Xiao
Lin Li
Weinan Xu
Jingyu Zhao
Xiaofeng Yang
Jun Lang
Hao Wang
21
14
0
07 Jun 2021
Online Selection of Diverse Committees
Online Selection of Diverse Committees
Virginie Do
Jamal Atif
J. Lang
Nicolas Usunier
40
8
0
19 May 2021
Joint Online Learning and Decision-making via Dual Mirror Descent
Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos
Paul Grigas
Zheng Wen
21
11
0
20 Apr 2021
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for
  Bandits with Knapsacks
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
Xiaocheng Li
Chunlin Sun
Yinyu Ye
16
21
0
12 Feb 2021
Online Learning with Vector Costs and Bandits with Knapsacks
Online Learning with Vector Costs and Bandits with Knapsacks
Thomas Kesselheim
Sahil Singla
17
32
0
14 Oct 2020
Group-Fair Online Allocation in Continuous Time
Group-Fair Online Allocation in Continuous Time
Semih Cayci
Swati Gupta
A. Eryilmaz
FaML
32
19
0
11 Jun 2020
Learning under Invariable Bayesian Safety
Learning under Invariable Bayesian Safety
Gal Bahar
Omer Ben-Porat
Kevin Leyton-Brown
Moshe Tennenholtz
27
0
0
08 Jun 2020
Online Learning and Optimization for Revenue Management Problems with
  Add-on Discounts
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts
D. Simchi-Levi
Rui Sun
Huanan Zhang
16
11
0
02 May 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for
  Contextual Bandits under Realizability
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
D. Simchi-Levi
Yunzong Xu
OffRL
51
107
0
28 Mar 2020
Budget-Constrained Bandits over General Cost and Reward Distributions
Budget-Constrained Bandits over General Cost and Reward Distributions
Semih Cayci
A. Eryilmaz
R. Srikant
6
31
0
29 Feb 2020
Linear Stochastic Bandits Under Safety Constraints
Linear Stochastic Bandits Under Safety Constraints
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
36
117
0
16 Aug 2019
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
Alberto Vera
Siddhartha Banerjee
I. Gurvich
OffRL
22
48
0
14 Jun 2019
Unifying the stochastic and the adversarial Bandits with Knapsack
Unifying the stochastic and the adversarial Bandits with Knapsack
A. Rangi
M. Franceschetti
Long Tran-Thanh
18
26
0
23 Oct 2018
An Algorithmic Framework to Control Bias in Bandit-based Personalization
An Algorithmic Framework to Control Bias in Bandit-based Personalization
L. E. Celis
Sayash Kapoor
Farnood Salehi
Nisheeth K. Vishnoi
20
20
0
23 Feb 2018
Combinatorial Semi-Bandits with Knapsacks
Combinatorial Semi-Bandits with Knapsacks
Karthik Abinav Sankararaman
Aleksandrs Slivkins
33
48
0
23 May 2017
Assortment Optimization under Unknown MultiNomial Logit Choice Models
Assortment Optimization under Unknown MultiNomial Logit Choice Models
Wang Chi Cheung
D. Simchi-Levi
28
15
0
01 Apr 2017
Resourceful Contextual Bandits
Resourceful Contextual Bandits
Ashwinkumar Badanidiyuru
John Langford
Aleksandrs Slivkins
45
117
0
27 Feb 2014
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