Hanrui Zhang
25 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
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(16)
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(5)
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(6)
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Conference Pioneer
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Century Club
(25)
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Keyword Collector
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Conferences
NIPS (11)
AAAI (10)
ICML (4)
Top co-authors
Research topics
Keywords
mechanism design
(8)
strategic classification
(5)
sample complexity
(4)
pac learning
(4)
incentive compatibility
(3)
principal-agent model
(3)
automated mechanism design
(2)
judgment aggregation
(2)
prior-independent mechanism
(2)
truthful mechanism
(2)
auction theory
(2)
approximation algorithm
(2)
strategic manipulation
(2)
first-price auction
(2)
optimal policy
(2)
social choice
(2)
regret bound
(2)
preference aggregation
(2)
price of anarchy
(2)
policy learning
(1)
Papers
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
NIPS 2024
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
NIPS 2024
Non-excludable Bilateral Trade between Groups
AAAI 2024
Efficiency of the First-Price Auction in the Autobidding World
NIPS 2024
Computational Aspects of Bayesian Persuasion under Approximate Best Response
NIPS 2024
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
NIPS 2024
Planning with Participation Constraints
AAAI 2022
Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers
NIPS 2022
Learning Influence Adoption in Heterogeneous Networks
AAAI 2022
Automated Mechanism Design for Classification with Partial Verification
AAAI 2021
Incentive-Aware PAC Learning
AAAI 2021
Classification with Few Tests through Self-Selection
AAAI 2021
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
NIPS 2021
Automated Dynamic Mechanism Design
NIPS 2021
Classification with Strategically Withheld Data
AAAI 2021
Learning the Valuations of a $k$-demand Agent
ICML 2020
Learning Opinions in Social Networks
ICML 2020
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
NIPS 2020
Nearly Linear Row Sampling Algorithm for Quantile Regression
ICML 2020
A PAC Framework for Aggregating Agentsβ Judgments
AAAI 2019
Distinguishing Distributions When Samples Are Strategically Transformed
NIPS 2019
A Better Algorithm for Societal Tradeoffs
AAAI 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
NIPS 2019
Learning Set Functions with Limited Complementarity
AAAI 2019
When Samples Are Strategically Selected
ICML 2019