“𝛼−𝛽” indicates alphabetical author order.

Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
(𝛼−𝛽) Nika Haghtalab, Chara Podimata, Kunhe Yang
To appear at the 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)
Selected for NeurIPS spotlight presentation
[arXiv]

Fundamental Bounds on Online Strategic Classification
(𝛼−𝛽) Saba Ahmadi, Avrim Blum, Kunhe Yang
In Proceedings of the 24th ACM Conference on Economics and Computation (EC 2023)
[Proc.] [arXiv]

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
In Proceedings of the 11th International Conference on Learning Representations (ICLR 2023)
Selected for ICLR spotlight presentation
[Proc.] [arXiv]

Oracle-Efficient Online Learning for Smoothed Adversaries
(𝛼−𝛽) Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
In Proceedings of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022)
Selected for NeurIPS oral presentation
[Proc.] [arXiv]

Nudge: Stochastically Improving upon FCFS
Isaac Grosof, Kunhe Yang, Ziv Scully, Mor Harchol-Balter
In Proceedings of the ACM Measurement and Analysis of Computer Systems (SIGMETRICS 2021)
Sigmetrics 2021 Best Paper Award
[Proc.] [arXiv]

Q-learning with Logarithmic Regret
Kunhe Yang, Lin Yang, Simon Du
In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021)
[Proc.] [arXiv]