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Online Learning via Offline Greedy Algorithms: Applications in Market
  Design and Optimization
v1v2v3v4 (latest)

Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization

18 February 2021
Rad Niazadeh
Negin Golrezaei
Joshua R. Wang
Fransisca Susan
Ashwinkumar Badanidiyuru
ArXiv (abs)PDFHTML

Papers citing "Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization"

27 / 27 papers shown
Title
Stochastic $k$-Submodular Bandits with Full Bandit Feedback
Stochastic kkk-Submodular Bandits with Full Bandit Feedback
G. Nie
Vaneet Aggarwal
Christopher J. Quinn
OffRL
119
1
0
14 Dec 2024
Wasserstein gradient flow for optimal probability measure decomposition
Wasserstein gradient flow for optimal probability measure decomposition
Jiangze Han
Chris Ryan
Xin T. Tong
57
1
0
03 Jun 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar
Yuhao Ding
Bilgehan Sel
Javad Lavaei
Ming Jin
OffRL
85
13
0
26 May 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic
  Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
No-Regret M♮{}^{\natural}♮-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
Taihei Oki
Shinsaku Sakaue
88
0
0
21 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
114
2
0
18 May 2024
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Fares Fourati
Mohamed-Slim Alouini
Vaneet Aggarwal
FedML
63
7
0
09 May 2024
From Linear to Linearizable Optimization: A Novel Framework with
  Applications to Stationary and Non-stationary DR-submodular Optimization
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
M. Pedramfar
Vaneet Aggarwal
83
3
0
27 Apr 2024
Unified Projection-Free Algorithms for Adversarial DR-Submodular
  Optimization
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
M. Pedramfar
Yididiya Y. Nadew
Christopher J. Quinn
Vaneet Aggarwal
59
2
0
15 Mar 2024
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
Arpit Agarwal
Rad Niazadeh
Prathamesh Patil
51
0
0
21 Feb 2024
Semi-Bandit Learning for Monotone Stochastic Optimization
Semi-Bandit Learning for Monotone Stochastic Optimization
Arpit Agarwal
R. Ghuge
Viswanath Nagarajan
68
2
0
24 Dec 2023
Bandit Sequential Posted Pricing via Half-Concavity
Bandit Sequential Posted Pricing via Half-Concavity
Sahil Singla
Yifan Wang
47
3
0
20 Dec 2023
Combinatorial Stochastic-Greedy Bandit
Combinatorial Stochastic-Greedy Bandit
Fares Fourati
Christopher J. Quinn
Mohamed-Slim Alouini
Vaneet Aggarwal
78
9
0
13 Dec 2023
Sum-max Submodular Bandits
Sum-max Submodular Bandits
Stephen Pasteris
Alberto Rumi
Fabio Vitale
Nicolò Cesa-Bianchi
56
2
0
10 Nov 2023
Online Submodular Maximization via Online Convex Optimization
Online Submodular Maximization via Online Convex Optimization
T. Si Salem
Gözde Özcan
Iasonas Nikolaou
Evimaria Terzi
Stratis Ioannidis
78
5
0
08 Sep 2023
Learning in Repeated Multi-Unit Pay-As-Bid Auctions
Learning in Repeated Multi-Unit Pay-As-Bid Auctions
Rigel Galgana
Negin Golrezaei
63
2
0
27 Jul 2023
Learning and Collusion in Multi-unit Auctions
Learning and Collusion in Multi-unit Auctions
Simina Brânzei
Mahsa Derakhshan
Negin Golrezaei
Yanjun Han
60
3
0
27 May 2023
A Unified Approach for Maximizing Continuous DR-submodular Functions
A Unified Approach for Maximizing Continuous DR-submodular Functions
M. Pedramfar
Christopher J. Quinn
Vaneet Aggarwal
74
7
0
26 May 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on
  Adversarial Submodular Bandits
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
Zongqi Wan
Jialin Zhang
Wei Chen
Xiaoming Sun
Zhijie Zhang
97
9
0
21 May 2023
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
M. Pedramfar
Vaneet Aggarwal
79
2
0
23 Mar 2023
Tight Bounds for $γ$-Regret via the Decision-Estimation Coefficient
Tight Bounds for γγγ-Regret via the Decision-Estimation Coefficient
Margalit Glasgow
Alexander Rakhlin
OffRL
54
0
0
06 Mar 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial
  Multi-Armed Bandit Problems with Bandit Feedback
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
G. Nie
Yididiya Y. Nadew
Yanhui Zhu
Vaneet Aggarwal
Christopher J. Quinn
OffRL
58
15
0
30 Jan 2023
Adaptive Oracle-Efficient Online Learning
Adaptive Oracle-Efficient Online Learning
Guanghui Wang
Zihao Hu
Vidya Muthukumar
Jacob D. Abernethy
64
4
0
17 Oct 2022
Product Ranking for Revenue Maximization with Multiple Purchases
Product Ranking for Revenue Maximization with Multiple Purchases
Renzhe Xu
Xingxuan Zhang
Yangqiu Song
Yafeng Zhang
Xiaolong Chen
Peng Cui
77
2
0
15 Oct 2022
Active Learning for Non-Parametric Choice Models
Active Learning for Non-Parametric Choice Models
Fransisca Susan
Negin Golrezaei
E. Emamjomeh-Zadeh
David Kempe
CML
41
3
0
05 Aug 2022
On Submodular Contextual Bandits
On Submodular Contextual Bandits
Dean Phillips Foster
Alexander Rakhlin
17
3
0
03 Dec 2021
Combinatorial Pure Exploration with Full-bandit Feedback and Beyond:
  Solving Combinatorial Optimization under Uncertainty with Limited Observation
Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation
Yuko Kuroki
Junya Honda
Masashi Sugiyama
OffRL
52
1
0
31 Dec 2020
Contextual Bandits with Cross-learning
Contextual Bandits with Cross-learning
S. Balseiro
Negin Golrezaei
Mohammad Mahdian
Vahab Mirrokni
Jon Schneider
159
51
0
25 Sep 2018
1