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Contextual Search in the Presence of Adversarial Corruptions

Contextual Search in the Presence of Adversarial Corruptions

26 February 2020
A. Krishnamurthy
Thodoris Lykouris
Chara Podimata
Robert Schapire
ArXivPDFHTML

Papers citing "Contextual Search in the Presence of Adversarial Corruptions"

24 / 24 papers shown
Title
Non-stationary Reinforcement Learning without Prior Knowledge: An
  Optimal Black-box Approach
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
Chen-Yu Wei
Haipeng Luo
OffRL
82
104
0
10 Feb 2021
Learning Product Rankings Robust to Fake Users
Learning Product Rankings Robust to Fake Users
Negin Golrezaei
Vahideh H. Manshadi
Jon Schneider
S. Sekar
31
26
0
10 Sep 2020
Adaptive Discretization for Adversarial Lipschitz Bandits
Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata
Aleksandrs Slivkins
57
18
0
22 Jun 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
51
51
0
04 Mar 2020
Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions
Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions
Negin Golrezaei
Adel Javanmard
Vahab Mirrokni
36
94
0
25 Feb 2020
Prediction with Corrupted Expert Advice
Prediction with Corrupted Expert Advice
I Zaghloul Amir
Idan Attias
Tomer Koren
Roi Livni
Yishay Mansour
26
39
0
24 Feb 2020
Corruption-robust exploration in episodic reinforcement learning
Corruption-robust exploration in episodic reinforcement learning
Thodoris Lykouris
Max Simchowitz
Aleksandrs Slivkins
Wen Sun
30
105
0
20 Nov 2019
Incentive-aware Contextual Pricing with Non-parametric Market Noise
Incentive-aware Contextual Pricing with Non-parametric Market Noise
Negin Golrezaei
Patrick Jaillet
Jason Cheuk Nam Liang
38
20
0
08 Nov 2019
Robust Dynamic Assortment Optimization in the Presence of Outlier
  Customers
Robust Dynamic Assortment Optimization in the Presence of Outlier Customers
Xi Chen
A. Krishnamurthy
Yining Wang
26
17
0
09 Oct 2019
Stochastic Linear Optimization with Adversarial Corruption
Stochastic Linear Optimization with Adversarial Corruption
Yingkai Li
Edmund Y. Lou
Liren Shan
AAML
21
42
0
04 Sep 2019
Hedging the Drift: Learning to Optimize under Non-Stationarity
Hedging the Drift: Learning to Optimize under Non-Stationarity
Wang Chi Cheung
D. Simchi-Levi
Ruihao Zhu
57
90
0
04 Mar 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Anupam Gupta
Tomer Koren
Kunal Talwar
AAML
48
152
0
22 Feb 2019
Semi-parametric dynamic contextual pricing
Semi-parametric dynamic contextual pricing
Virag Shah
Jose H. Blanchet
Ramesh Johari
27
36
0
07 Jan 2019
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
Julian Zimmert
Yevgeny Seldin
AAML
41
177
0
19 Jul 2018
Dynamic Pricing with Finitely Many Unknown Valuations
Dynamic Pricing with Finitely Many Unknown Valuations
Nicolò Cesa-Bianchi
Tommaso Cesari
Vianney Perchet
17
28
0
09 Jul 2018
Contextual Search via Intrinsic Volumes
Contextual Search via Intrinsic Volumes
R. Leme
Jon Schneider
90
44
0
09 Apr 2018
Stochastic bandits robust to adversarial corruptions
Stochastic bandits robust to adversarial corruptions
Thodoris Lykouris
Vahab Mirrokni
R. Leme
AAML
64
203
0
25 Mar 2018
Multidimensional Binary Search for Contextual Decision-Making
Multidimensional Binary Search for Contextual Decision-Making
Ilan Lobel
R. Leme
Adrian Vladu
23
63
0
02 Nov 2016
Dynamic Pricing in High-dimensions
Dynamic Pricing in High-dimensions
Adel Javanmard
Hamid Nazerzadeh
124
138
0
24 Sep 2016
Multidimensional Dynamic Pricing for Welfare Maximization
Multidimensional Dynamic Pricing for Welfare Maximization
Aaron Roth
Aleksandrs Slivkins
Jonathan R. Ullman
Zhiwei Steven Wu
25
21
0
19 Jul 2016
Dynamic Pricing with Demand Covariates
Dynamic Pricing with Demand Covariates
Sheng Qiang
Mohsen Bayati
61
116
0
25 Apr 2016
Watch and Learn: Optimizing from Revealed Preferences Feedback
Watch and Learn: Optimizing from Revealed Preferences Feedback
Aaron Roth
Jonathan R. Ullman
Zhiwei Steven Wu
37
70
0
04 Apr 2015
Learning Prices for Repeated Auctions with Strategic Buyers
Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin
Afshin Rostamizadeh
Umar Syed
55
151
0
26 Nov 2013
Non-stationary Stochastic Optimization
Non-stationary Stochastic Optimization
Omar Besbes
Y. Gur
A. Zeevi
94
430
0
20 Jul 2013
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