David Parkes
10 papers · 2014–2024 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28)
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Topic Evolution
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(54)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Core AI
(5)
Mathematics & Optimization
(4)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Application Areas
(3)
Learning Types
(3)
Methods
(3)
Optimization
(3)
Core Methods
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Keywords
markov decision process
(2)
group fairness
(2)
revenue optimization
(2)
reinforcement learning
(2)
mechanism design
(2)
regret bound
(2)
sequential decision making
(1)
policy optimization
(1)
multi-agent reinforcement learning
(1)
online learning
(1)
partially observable markov decision process
(1)
sequential decision
(1)
human decision-making
(1)
partial observability
(1)
plackett-luce model
(1)
strategic manipulation
(1)
collaborative learning
(1)
upper confidence bound
(1)
thompson sampling
(1)
deep learning
(1)
Papers
Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)
AAAI 2024
Reinforcement Learning with Stepwise Fairness Constraints
AISTATS 2023
Learning Representations by Humans, for Humans
ICML 2021
Reinforcement Learning of Sequential Price Mechanisms
AAAI 2021
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents
AAAI 2020
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
ICML 2020
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
ICML 2019
Learning to Collaborate in Markov Decision Processes
ICML 2019
Optimal Auctions through Deep Learning
ICML 2019
Computing Parametric Ranking Models via Rank-Breaking
ICML 2014