Vincent Conitzer
Management Science and Operations Research · 2002–2021
A researcher in the Science corpus: 9 papers; trusts 23 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 71 citations into it; #1,690 of 11,946 by trust here, #1,534 by citations
- Economics and Econometrics — 60 citations into it
- Artificial Intelligence — 41 citations into it; #9,314 of 35,345 by trust here, #12,387 by citations
- Computational Theory and Mathematics — 21 citations into it
- Game & Decision Theory — 19 citations into it
- Reinforcement Learning — 10 citations into it
- Safety Research — 8 citations into it
- Statistical and Nonlinear Physics — 6 citations into it; #4,461 of 10,127 by trust here, #6,156 by citations
Whom Vincent Conitzer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael L. Littman
- Michael H. Bowling
- Michael Kearns
- Richard M. Karp
- Satinder Singh
- Ronen I. Brafman
- Bikramjit Banerjee
- Eugene Nudelman
- Christos H. Papadimitriou
- Richard Jay Lipton
Who trusts Vincent Conitzer overall
- Anthony David Jameson
- Doran Chakraborty
- Lucian Busoniu
- Sherief Abdallah
- Yann Chevaleyre
- Pablo Hernandez-Leal
- Peter Stone
- Milind Tambe
- Praveen Paruchuri
- Pieter Jan't Hoen
Papers from Vincent Conitzer's perspective
Ordered by how strongly the researchers Vincent Conitzer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Markov Games as a Framework for Multi-Agent Reinforcement Learning
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
Their papers
- AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents (2003) — 299 citations
- Computing the optimal strategy to commit to (2006) — 602 citations
- Handbook of Computational Social Choice (2016) — 984 citations
- When are elections with few candidates hard to manipulate? (2007) — 379 citations
- Fair Public Decision Making (2016) — 200 citations
- Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization (2021) — 23 citations
- When Do People Want AI to Make Decisions? (2018) — 42 citations
- Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness (2011) — 287 citations
- Complexity of Mechanism Design (2002) — 375 citations