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Algorithms, Approximation, and Learning in Market and Mechanism Design: "New directions in how computer science can inform the design of economic mechanisms and systems: Automated mechanism design, necessarily exponentially long theories, AI mediators, and fast convergence to high welfare"
Presenter
- Tuomas Sandholm
November 9, 2023
SLMath
Bill Fefferman - Have we seen a demonstration of experimental quantum advantage? - IPAM at UCLA
Presenter
- Bill Fefferman
November 9, 2023
IPAM
Ewout Van der Berg - Quantum error mitigation for observable expectation values and shot counts
Presenter
- Ewout Van den Berg
November 9, 2023
IPAM
Leo Zhou - Quantum Advantages in Energy Minimization - IPAM at UCLA
Presenter
- Leo Zhou
November 9, 2023
IPAM
Ryan Babbush - Searching for valuable applications of fault-tolerant quantum computers in chemistry
Presenter
- Ryan Babbush
November 9, 2023
IPAM
Vedika Khemani - Quantum phases in space-time: entanglement & teleportation on a quantum processor
Presenter
- Vedika Khemani
November 9, 2023
IPAM
Algorithms, Approximation, and Learning in Market and Mechanism Design: "Learning Bayes-Nash Equilibria in Auctions and Contests"
Presenter
- Martin Bichler
November 9, 2023
SLMath
Algorithms, Approximation, and Learning in Market and Mechanism Design: "Statistical Contract Theory"
Presenter
- Michael Jordan
November 9, 2023
SLMath
Algorithms, Approximation, and Learning in Market and Mechanism Design: "Stability and Learning in Strategic Games"
Presenter
- Eva Tardos
November 9, 2023
SLMath
