Yingjie Fei

According to our database, Yingjie Fei authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text.

Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model.

Yingjie Fei, Yudong Chen

Math. Oper. Res., 2022

Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning.

Yingjie Fei, Ruitu Xu

CoRR, 2022

Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning.

Yingjie Fei, Ruitu Xu

Proceedings of the International Conference on Machine Learning, 2022

2021

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning.

Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach.

Yingjie Fei, Zhuoran Yang, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly.

Yingjie Fei, Yudong Chen

IEEE Trans. Inf. Theory, 2020

Dynamic Regret of Policy Optimization in Non-Stationary Environments.

Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret.

Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence.

Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Exponential Error Rates of SDP for Block Models: Beyond Grothendieck's Inequality.

Yingjie Fei, Yudong Chen

IEEE Trans. Inf. Theory, 2019

Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly.

Yingjie Fei, Yudong Chen

Proceedings of the Conference on Learning Theory, 2019

2018

Hidden Integrality of SDP Relaxation for Sub-Gaussian Mixture Models.

Yingjie Fei, Yudong Chen

CoRR, 2018

Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models.

Yingjie Fei, Yudong Chen

Proceedings of the Conference On Learning Theory, 2018