Tanner Fiez

According to our database1, Tanner Fiez authored at least 20 papers between 2017 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Adaptive Incentive Design.
IEEE Trans. Autom. Control., 2021

Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms.
CoRR, 2021

Minimax Optimization with Smooth Algorithmic Adversaries.
CoRR, 2021

Online Learning in Periodic Zero-Sum Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gaussian Mixture Models for Parking Demand Data.
IEEE Trans. Intell. Transp. Syst., 2020

Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation.
CoRR, 2020

A SUPER<sup>*</sup> Algorithm to Optimize Paper Bidding in Peer Review.
CoRR, 2020

A SUPER* Algorithm to Optimize Paper Bidding in Peer Review.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Convergence of Learning Dynamics in Stackelberg Games.
CoRR, 2019

Sequential Experimental Design for Transductive Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type.
CoRR, 2018

Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Data Driven Spatio-Temporal Modeling of Parking Demand.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
How Much Urban Traffic is Searching for Parking?
CoRR, 2017

Gradient-based inverse risk-sensitive reinforcement learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Optimizing curbside parking resources subject to congestion constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


  Loading...