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David C. Parkes

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

Achievements

πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (10) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 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