دنبال کردن
Tanner Fiez
Tanner Fiez
Applied Scientist at Amazon
ایمیل تأیید شده در amazon.com
عنوان
نقل شده توسط
نقل شده توسط
سال
Implicit learning dynamics in stackelberg games: Equilibria characterization, convergence analysis, and empirical study‏
T Fiez, B Chasnov, L Ratliff‏
International Conference on Machine Learning, 3133-3144, 2020‏
222*2020
Sequential experimental design for transductive linear bandits‏
T Fiez, L Jain, KG Jamieson, L Ratliff‏
Advances in neural information processing systems 32, 2019‏
1432019
Local convergence analysis of gradient descent ascent with finite timescale separation‏
T Fiez, LJ Ratliff‏
Proceedings of the International Conference on Learning Representation, 2021‏
60*2021
A perspective on incentive design: Challenges and opportunities‏
LJ Ratliff, R Dong, S Sekar, T Fiez‏
Annual Review of Control, Robotics, and Autonomous Systems 2, 305-338, 2019‏
572019
A SUPER* algorithm to optimize paper bidding in peer review‏
T Fiez, N Shah, L Ratliff‏
Conference on Uncertainty in Artificial Intelligence, 580-589, 2020‏
552020
Stackelberg actor-critic: Game-theoretic reinforcement learning algorithms‏
L Zheng, T Fiez, Z Alumbaugh, B Chasnov, LJ Ratliff‏
AAAI Conference on Artificial Intelligence, 2021‏
522021
How much urban traffic is searching for parking‏
C Dowling, T Fiez, L Ratliff, B Zhang‏
arXiv preprint arXiv:1702.06156, 1-20, 2017‏
512017
Adaptive incentive design‏
LJ Ratliff, T Fiez‏
IEEE Transactions on Automatic Control 66 (8), 3871-3878, 2020‏
462020
Global convergence to local minmax equilibrium in classes of nonconvex zero-sum games‏
T Fiez, L Ratliff, E Mazumdar, E Faulkner, A Narang‏
Advances in Neural Information Processing Systems 34, 29049-29063, 2021‏
362021
Gaussian mixture models for parking demand data‏
T Fiez, LJ Ratliff‏
IEEE Transactions on Intelligent Transportation Systems 21 (8), 3571-3580, 2019‏
25*2019
Gradient-based inverse risk-sensitive reinforcement learning‏
E Mazumdar, LJ Ratliff, T Fiez, SS Sastry‏
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5796-5801, 2017‏
23*2017
Data driven spatio-temporal modeling of parking demand‏
T Fiez, LJ Ratliff, C Dowling, B Zhang‏
2018 Annual American Control Conference (ACC), 2757-2762, 2018‏
222018
Optimizing curbside parking resources subject to congestion constraints‏
C Dowling, T Fiez, L Ratliff, B Zhang‏
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5080-5085, 2017‏
182017
Evolutionary game theory squared: Evolving agents in endogenously evolving zero-sum games‏
S Skoulakis, T Fiez, R Sim, G Piliouras, L Ratliff‏
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11343 …, 2021‏
142021
Minimax optimization with smooth algorithmic adversaries‏
T Fiez, C Jin, P Netrapalli, LJ Ratliff‏
International Conference on Learning Learning Representations, 2021‏
122021
Neural insights for digital marketing content design‏
F Kong, Y Li, H Nassif, T Fiez, R Henao, S Chakrabarti‏
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023‏
112023
Online learning in periodic zero-sum games‏
T Fiez, R Sim, S Skoulakis, G Piliouras, L Ratliff‏
Advances in Neural Information Processing Systems 34, 10313-10325, 2021‏
112021
Adaptive experimental design and counterfactual inference‏
T Fiez, S Gamez, A Chen, H Nassif, L Jain‏
RecSys Consequences Workshop, 2022‏
102022
Multi-armed bandits for correlated markovian environments with smoothed reward feedback‏
T Fiez, S Sekar, LJ Ratliff‏
arXiv preprint arXiv:1803.04008, 2018‏
102018
Best of three worlds: Adaptive experimentation for digital marketing in practice‏
T Fiez, H Nassif, YC Chen, S Gamez, L Jain‏
Proceedings of the ACM Web Conference 2024, 2024‏
72024
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20