Kunhe Yang

30 papers A* 11A 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
CoRR
Paul Gölz, Nika Haghtalab, Kunhe Yang
2025 A* conf
Leakage-Robust Bayesian Persuasion.
EC
Nika Haghtalab, Mingda Qiao, Kunhe Yang
2025 J jnl
Learning Local Stackelberg Equilibria from Repeated Interactions with a Learning Agent.
CoRR
Nivasini Ananthakrishnan, Yuval Dagan, Kunhe Yang
2025 A* conf
Platforms for Efficient and Incentive-Aware Collaboration.
SODA
Nika Haghtalab, Mingda Qiao, Kunhe Yang
2025 A* conf
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
ICML
Han Shao, Shuo Xie, Kunhe Yang
2025 J jnl
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
CoRR
Han Shao, Shuo Xie, Kunhe Yang
2024 A* conf
Computational Aspects of Bayesian Persuasion under Approximate Best Response.
NeurIPS
Kunhe Yang, Hanrui Zhang
2024 J jnl
Computational Aspects of Bayesian Persuasion under Approximate Best Response.
CoRR
Kunhe Yang, Hanrui Zhang
2024 J jnl
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interaction.
CoRR
Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
2024 A* conf
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions.
NeurIPS
Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
2024 J jnl
Leakage-Robust Bayesian Persuasion.
CoRR
Nika Haghtalab, Mingda Qiao, Kunhe Yang
2024 J jnl
Platforms for Efficient and Incentive-Aware Collaboration.
CoRR
Nika Haghtalab, Mingda Qiao, Kunhe Yang
2024 A* conf
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification.
NeurIPS
Saba Ahmadi, Kunhe Yang, Hanrui Zhang
2024 J jnl
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification.
CoRR
Saba Ahmadi, Kunhe Yang, Hanrui Zhang
2024 A* conf
Truthfulness of Calibration Measures.
NeurIPS
Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao
2024 J jnl
Truthfulness of Calibration Measures.
CoRR
Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao
2023 A* conf
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents.
NeurIPS
Nika Haghtalab, Chara Podimata, Kunhe Yang
2023 J jnl
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents.
CoRR
Nika Haghtalab, Chara Podimata, Kunhe Yang
2023 A* conf
Fundamental Bounds on Online Strategic Classification.
EC
Saba Ahmadi, Avrim Blum, Kunhe Yang
2023 J jnl
Fundamental Bounds on Online Strategic Classification.
CoRR
Saba Ahmadi, Avrim Blum, Kunhe Yang
2023 A* conf
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian.
ICLR
Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
2022 J jnl
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian.
CoRR
Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
2022 J jnl
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries.
CoRR
Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
2022 A* conf
Oracle-Efficient Online Learning for Smoothed Adversaries.
NeurIPS
Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
2021 — conf
Nudge: Stochastically Improving upon FCFS.
SIGMETRICS (Abstracts)
Isaac Grosof, Kunhe Yang, Ziv Scully, Mor Harchol-Balter
2021 J jnl
Nudge: Stochastically Improving upon FCFS.
CoRR
Isaac Grosof, Kunhe Yang, Ziv Scully, Mor Harchol-Balter
2021 J jnl
Nudge: Stochastically Improving upon FCFS.
Proc. ACM Meas. Anal. Comput. Syst.
Isaac Grosof, Kunhe Yang, Ziv Scully, Mor Harchol-Balter
2021 A conf
Q-learning with Logarithmic Regret.
AISTATS
Kunhe Yang, Lin F. Yang, Simon S. Du
2020 J jnl
Q-learning with Logarithmic Regret.
CoRR
Kunhe Yang, Lin F. Yang, Simon S. Du
2019 — conf
An Effective Method for Complex Network Community Detection Based on Hierarchical Splitting.
ICMAI
Kunhe Yang, Yushen Xu