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← Authors

David C. Parkes

31 papers · 2013–2024 · 5 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (5)
🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer πŸ“› The Namer 🌱 Topic Pioneer πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (122) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (8)

Conferences

NIPS (13) IJCAI (9) AAAI (3) ICLR (3) ICML (3)

Top co-authors

Harikrishna Narasimhan (3) Hossein Azari Soufiani (3) Hongyao Ma (3) Tonghan Wang (3) Lirong Xia (3) Lucy Liu (2) Goran Radanovic (2) Matthias Gerstgrasser (2) Yiling Chen (2) Sai Srivatsa Ravindranath (2)

Research topics

Statistics (1)

Keywords

reinforcement learning (4) multi-agent system (4) game theory (3) multi-agent reinforcement learning (2) deep learning (2) formal methods (2) markov decision process (2) policy explanation (2) variational inference (1) parameter estimation (1) policy evaluation (1) decision theory (1) topic modeling (1) sample complexity (1) contrastive learning (1) decision making (1) bayesian inference (1) explainable ai (1) policy learning (1) explanation generation (1)

Papers

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces ICLR 2024 Generative Adversarial Equilibrium Solvers ICLR 2024 Position: Social Environment Design Should be Further Developed for AI-based Policy-Making ICML 2024 Multi-Sender Persuasion: A Computational Perspective ICML 2024 Deep Contract Design via Discontinuous Networks NIPS 2023 Predictive Multiplicity in Probabilistic Classification AAAI 2023 Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023 Data Market Design through Deep Learning NIPS 2023 Explainable Reinforcement Learning via Model Transforms NIPS 2022 Learning to Mitigate AI Collusion on Economic Platforms NIPS 2022 Reinforcement Learning Explainability via Model Transforms (Student Abstract) AAAI 2022 CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning ICLR 2022 From Predictions to Decisions: Using Lookahead Regularization NIPS 2020 Ridesharing with Driver Location Preferences IJCAI 2019 Finding Friend and Foe in Multi-Agent Games NIPS 2019 Bayesian Fairness AAAI 2019 Deep Learning for Multi-Facility Location Mechanism Design IJCAI 2018 Thwarting Vote Buying Through Decoy Ballots IJCAI 2017 Multi-View Decision Processes: The Helper-AI Problem NIPS 2017 Social Choice for Agents with General Utilities IJCAI 2016 Long-term Causal Effects via Behavioral Game Theory NIPS 2016 Incentivizing Reliability in Demand-Side Response IJCAI 2016 Correlated Voting IJCAI 2016 Automated Mechanism Design without Money via Machine Learning IJCAI 2016 Measuring Performance of Peer Prediction Mechanisms Using Replicator Dynamics IJCAI 2016 Learnability of Influence in Networks NIPS 2015 A Statistical Decision-Theoretic Framework for Social Choice NIPS 2014 Generalized Random Utility Models with Multiple Types NIPS 2013 Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders IJCAI 2013 Generalized Method-of-Moments for Rank Aggregation NIPS 2013 Contrastive Learning Using Spectral Methods NIPS 2013