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2003.09795
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Optimal No-regret Learning in Repeated First-price Auctions
Operational Research (OR), 2020
22 March 2020
Yanjun Han
Zhengyuan Zhou
Tsachy Weissman
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Papers citing
"Optimal No-regret Learning in Repeated First-price Auctions"
25 / 25 papers shown
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Adaptive Bidding Policies for First-Price Auctions with Budget Constraints under Non-stationarity
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Regret Minimization for Piecewise Linear Rewards: Contracts, Auctions, and Beyond
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Adversarial Combinatorial Semi-bandits with Graph Feedback
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Stochastic contextual bandits with graph feedback: from independence number to MAS number
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Optimal cross-learning for contextual bandits with unknown context distributions
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Adaptive maximization of social welfare
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Learning in Repeated Multi-Unit Pay-As-Bid Auctions
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Advancing Ad Auction Realism: Practical Insights & Modeling Implications
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Sareh Nabi
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The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations
Symposium on the Theory of Computing (STOC), 2023
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Tommaso Cesari
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14 Jul 2023
Online Ad Procurement in Non-stationary Autobidding Worlds
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Jason Cheuk Nam Liang
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171
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Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
International Conference on Machine Learning (ICML), 2023
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Qian Wang
Zhijian Duan
Haoran Sun
Zhaohua Chen
Xiang Yan
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234
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Multi-Platform Budget Management in Ad Markets with Non-IC Auctions
Social Science Research Network (SSRN), 2023
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Negin Golrezaei
Okke Schrijvers
181
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Learning and Collusion in Multi-unit Auctions
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Simina Brânzei
Mahsa Derakhshan
Negin Golrezaei
Yanjun Han
325
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27 May 2023
Bandits for Sponsored Search Auctions under Unknown Valuation Model: Case Study in E-Commerce Advertising
Danil Provodin
Jérémie Joudioux
E. Duryev
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31 Mar 2023
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
Neural Information Processing Systems (NeurIPS), 2022
Wei Zhang
Yanjun Han
Zhengyuan Zhou
Aaron Flores
Tsachy Weissman
217
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Double Auctions with Two-sided Bandit Feedback
Neural Information Processing Systems (NeurIPS), 2022
Soumya Basu
Abishek Sankararaman
282
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Learning to Bid in Contextual First Price Auctions
The Web Conference (WWW), 2021
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Zhe Feng
Guru Guruganesh
230
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07 Sep 2021
Fast Rate Learning in Stochastic First Price Bidding
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Olivier Cappé
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Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
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Tsachy Weissman
266
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Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
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Online Causal Inference for Advertising in Real-Time Bidding Auctions
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Harikesh S. Nair
Carlos Carrion
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