Zhang, Hanrui

28 publications

NeurIPS 2025 No-Regret Online Autobidding Algorithms in First-Price Auctions Yilin Li, Yuan Deng, Wei Tang, Hanrui Zhang

NeurIPS 2024 Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction Yixuan Even Xu, Hanrui Zhang, Yu Cheng, Vincent Conitzer

NeurIPS 2024 Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo

NeurIPS 2024 Computational Aspects of Bayesian Persuasion Under Approximate Best Response Kunhe Yang, Hanrui Zhang

NeurIPS 2024 Efficiency of the First-Price Auction in the Autobidding World Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo

ICMLW 2024 LLMs at the Bargaining Table Yuan Deng, Vahab Mirrokni, Renato Paes Leme, Hanrui Zhang, Song Zuo

AAAI 2024 Non-Excludable Bilateral Trade Between Groups Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer

NeurIPS 2024 Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification Saba Ahmadi, Kunhe Yang, Hanrui Zhang

AAAI 2022 Learning Influence Adoption in Heterogeneous Networks Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang

AAAI 2022 Planning with Participation Constraints Hanrui Zhang, Yu Cheng, Vincent Conitzer

NeurIPS 2022 Posted Pricing and Dynamic Prior-Independent Mechanisms with Value Maximizers Yuan Deng, Vahab Mirrokni, Hanrui Zhang

NeurIPS 2021 Automated Dynamic Mechanism Design Hanrui Zhang, Vincent Conitzer

AAAI 2021 Automated Mechanism Design for Classification with Partial Verification Hanrui Zhang, Yu Cheng, Vincent Conitzer

AAAI 2021 Classification with Few Tests Through Self-Selection Hanrui Zhang, Yu Cheng, Vincent Conitzer

AAAI 2021 Classification with Strategically Withheld Data Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer

AAAI 2021 Incentive-Aware PAC Learning Hanrui Zhang, Vincent Conitzer

NeurIPS 2021 Prior-Independent Dynamic Auctions for a Value-Maximizing Buyer Yuan Deng, Hanrui Zhang

ICML 2020 Learning Opinions in Social Networks Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang

ICML 2020 Learning the Valuations of a $k$-Demand Agent Hanrui Zhang, Vincent Conitzer

NeurIPS 2020 Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar Shah, Vincent Conitzer, Fei Fang

ICML 2020 Nearly Linear Row Sampling Algorithm for Quantile Regression Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang

AAAI 2019 A Better Algorithm for Societal Tradeoffs Hanrui Zhang, Yu Cheng, Vincent Conitzer

AAAI 2019 A PAC Framework for Aggregating Agents' Judgments Hanrui Zhang, Vincent Conitzer

NeurIPS 2019 Distinguishing Distributions When Samples Are Strategically Transformed Hanrui Zhang, Yu Cheng, Vincent Conitzer

AAAI 2019 Learning Set Functions with Limited Complementarity Hanrui Zhang

NeurIPS 2019 Provably Efficient Q-Learning with Function Approximation via Distribution Shift Error Checking Oracle Simon S Du, Yuping Luo, Ruosong Wang, Hanrui Zhang

ICML 2019 When Samples Are Strategically Selected Hanrui Zhang, Yu Cheng, Vincent Conitzer

AAAI 2018 Approximation-Variance Tradeoffs in Facility Location Games Ariel D. Procaccia, David Wajc, Hanrui Zhang