v1v2v3 (latest)

Learning in Stackelberg Games with Non-myopic Agents

ACM Conference on Economics and Computation (EC), 2022

19 August 2022

Papers citing "Learning in Stackelberg Games with Non-myopic Agents"

44 / 44 papers shown

Title
Learning Local Stackelberg Equilibria from Repeated Interactions with a Learning Agent Nivasini Ananthakrishnan Yuval Dagan Kunhe Yang 76 0 0 26 Oct 2025
The Burden of Interactive Alignment with Inconsistent Preferences Ali Shirali 74 0 0 18 Oct 2025
Learning in Repeated Multi-Objective Stackelberg Games with Payoff Manipulation Phurinut Srisawad Juergen Branke Long Tran-Thanh 120 0 0 20 Aug 2025
Collective dynamics of strategic classification Marta C. Couto Flavia Barsotti Fernando P. Santos 70 0 0 12 Aug 2025
Should Decision-Makers Reveal Classifiers in Online Strategic Classification? Han Shao Shuo Xie Kunhe Yang 150 2 0 02 Jun 2025
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition Zichen Wang Chuanhao Li Huazheng Wang 200 0 0 23 May 2025
Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games Michael Albert Quinlan Dawkins Minbiao Han Haifeng Xu 180 0 0 22 Apr 2025
Learning in Structured Stackelberg Games Maria-Florina Balcan Kiriaki Fragkia Keegan Harris 182 0 0 11 Apr 2025
Computational Intractability of Strategizing against Online LearnersAnnual Conference Computational Learning Theory (COLT), 2025 A. Assos Y. Dagan Nived Rajaraman 183 1 0 06 Mar 2025
Learning a Game by Paying the Agents B. Zhang Tao Lin Yiling Chen Tuomas Sandholm 178 0 0 03 Mar 2025
Game of Coding With an Unknown Adversary Hanzaleh Akbarinodehi Parsa Moradi M. Maddah-ali AAML 168 1 0 10 Feb 2025
Is Knowledge Power? On the (Im)possibility of Learning from Strategic InteractionNeural Information Processing Systems (NeurIPS), 2024 Nivasini Ananthakrishnan Nika Haghtalab Chara Podimata Kunhe Yang 264 6 0 15 Aug 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners A. Assos Y. Dagan Constantinos Daskalakis 165 9 0 05 Jul 2024
No-Regret Learning for Stackelberg Equilibrium Computation in Newsvendor Pricing Games Larkin Liu Yuming Rong 275 1 0 30 Mar 2024
Learnability Gaps of Strategic Classification Lee Cohen Yishay Mansour Shay Moran Han Shao 212 9 0 29 Feb 2024
Regret Minimization in Stackelberg Games with Side Information Keegan Harris Zhiwei Steven Wu Maria-Florina Balcan 309 4 0 13 Feb 2024
Multi-Sender Persuasion: A Computational Perspective Safwan Hossain Tonghan Wang Tao Lin Yiling Chen David C. Parkes Haifeng Xu 205 14 0 07 Feb 2024
Learning in Online Principal-Agent Interactions: The Power of MenusAAAI Conference on Artificial Intelligence (AAAI), 2023 Minbiao Han Michael Albert Haifeng Xu 163 7 0 15 Dec 2023
Regret Analysis of Repeated Delegated ChoiceAAAI Conference on Artificial Intelligence (AAAI), 2023 Mohammadtaghi Hajiaghayi Mohammad Mahdavi Keivan Rezaei Suho Shin 282 7 0 07 Oct 2023
Incentivizing High-Quality Content in Online Recommender Systems Xinyan Hu Meena Jagadeesan Sai Li Jacob Steinhard 245 13 0 13 Jun 2023
Strategic Apple TastingNeural Information Processing Systems (NeurIPS), 2023 Keegan Harris Chara Podimata Zhiwei Steven Wu 242 11 0 09 Jun 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated AgentsNeural Information Processing Systems (NeurIPS), 2023 Nika Haghtalab Chara Podimata Kunhe Yang 188 30 0 05 Jun 2023
Is Learning in Games Good for the Learners?Neural Information Processing Systems (NeurIPS), 2023 William Brown Jon Schneider Kiran Vodrahalli 198 21 0 31 May 2023
Strategic Classification under Unknown Personalized ManipulationNeural Information Processing Systems (NeurIPS), 2023 Han Shao Avrim Blum Omar Montasser 213 17 0 25 May 2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent ModelInternational Conference on Machine Learning (ICML), 2023 Siyu Chen Jibang Wu Yifan Wu Zhuoran Yang 170 9 0 15 Mar 2023
Fundamental Bounds on Online Strategic ClassificationACM Conference on Economics and Computation (EC), 2023 Saba Ahmadi Avrim Blum Kunhe Yang 197 15 0 23 Feb 2023
Learning to Manipulate a Commitment Optimizer Yurong Chen Xiaotie Deng Jiarui Gan Yuhao Li 173 2 0 23 Feb 2023
Optimal Private Payoff Manipulation against Commitment in Extensive-form GamesWorkshop on Internet and Network Economics (WINE), 2022 Yurong Chen Xiaotie Deng Yuhao Li 181 3 0 27 Jun 2022
Stochastic Multi-Armed Bandits with Unrestricted Delay DistributionsInternational Conference on Machine Learning (ICML), 2021 Tal Lancewicki Shahar Segal Tomer Koren Yishay Mansour 154 45 0 04 Jun 2021
Stochastic bandits with arm-dependent delays Anne Gael Manegueu Claire Vernade Alexandra Carpentier Michal Valko 154 47 0 18 Jun 2020
Dynamic Incentive-aware Learning: Robust Pricing in Contextual AuctionsNeural Information Processing Systems (NeurIPS), 2018 Negin Golrezaei Adel Javanmard Vahab Mirrokni 188 101 0 25 Feb 2020
Introduction to Multi-Armed Bandits Aleksandrs Slivkins 1.1K 1,146 0 15 Apr 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions Anupam Gupta Tomer Koren Kunal Talwar AAML 217 157 0 22 Feb 2019
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial BanditsJournal of machine learning research (JMLR), 2018 Julian Zimmert Yevgeny Seldin AAML 426 195 0 19 Jul 2018
Stochastic bandits robust to adversarial corruptions Thodoris Lykouris Vahab Mirrokni R. Leme AAML 219 215 0 25 Mar 2018
Strategic Classification from Revealed Preferences Jinshuo Dong Aaron Roth Zachary Schutzman Bo Waggoner Zhiwei Steven Wu 165 192 0 22 Oct 2017
Multidimensional Binary Search for Contextual Decision-Making Ilan Lobel R. Leme Adrian Vladu 142 66 0 02 Nov 2016
Kernel-based methods for bandit convex optimizationSymposium on the Theory of Computing (STOC), 2016 Sébastien Bubeck Ronen Eldan Y. Lee 602 169 0 11 Jul 2016
Delay and Cooperation in Nonstochastic Bandits Nicolò Cesa-Bianchi Claudio Gentile Yishay Mansour Alberto Minora 151 150 0 15 Feb 2016
Learning Prices for Repeated Auctions with Strategic BuyersNeural Information Processing Systems (NeurIPS), 2013 Kareem Amin Afshin Rostamizadeh Umar Syed 213 159 0 26 Nov 2013
Online Learning under Delayed FeedbackInternational Conference on Machine Learning (ICML), 2013 Pooria Joulani András Gyorgy Csaba Szepesvári 227 295 0 04 Jun 2013
Bandits with KnapsacksIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2013 Ashwinkumar Badanidiyuru Robert D. Kleinberg Aleksandrs Slivkins 946 451 0 11 May 2013
Mechanism Design in Large Games: Incentives and PrivacyInformation Technology Convergence and Services (ITCS), 2012 Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 330 186 0 17 Jul 2012
Approximately Optimal Mechanism Design via Differential Privacy Kobbi Nissim Rann Smorodinsky Moshe Tennenholtz 377 152 0 16 Apr 2010