Hanrui Zhang
25 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π§
Keyword Pioneer
π€
Dynamic Duo
(16)
π
Conference Pioneer
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(107)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(19)
Mathematics & Optimization
(14)
Artificial Intelligence
(12)
Core AI
(11)
Optimization
(10)
Core Methods
(9)
Learning Types
(8)
Optimization & Theory
(8)
Mathematics
(4)
Computer Science
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Foundations
(2)
Methods
(2)
Bayesian & Probabilistic
(1)
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
NeurIPS 2024
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
NeurIPS 2024
Computational Aspects of Bayesian Persuasion under Approximate Best Response
NeurIPS 2024
Efficiency of the First-Price Auction in the Autobidding World
NeurIPS 2024
Non-excludable Bilateral Trade between Groups
AAAI 2024
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
NeurIPS 2024
Learning Influence Adoption in Heterogeneous Networks
AAAI 2022
Planning with Participation Constraints
AAAI 2022
Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers
NeurIPS 2022
Automated Dynamic Mechanism Design
NeurIPS 2021
Automated Mechanism Design for Classification with Partial Verification
AAAI 2021
Classification with Few Tests through Self-Selection
AAAI 2021
Classification with Strategically Withheld Data
AAAI 2021
Incentive-Aware PAC Learning
AAAI 2021
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
NeurIPS 2021
Learning Opinions in Social Networks
ICML 2020
Learning the Valuations of a k-demand Agent
ICML 2020
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
NeurIPS 2020
Nearly Linear Row Sampling Algorithm for Quantile Regression
ICML 2020
A Better Algorithm for Societal Tradeoffs
AAAI 2019
A PAC Framework for Aggregating Agentsβ Judgments
AAAI 2019
Distinguishing Distributions When Samples Are Strategically Transformed
NeurIPS 2019
Learning Set Functions with Limited Complementarity
AAAI 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
NeurIPS 2019
When Samples Are Strategically Selected
ICML 2019