Yingjie Fei

发表

The breakup dynamics of bubbles stabilized by nanoparticles in a microfluidic Y-junction

Taotao Fu, Youguang Ma, Chunying Zhu, 2021 .

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

Yingjie Fei, Ruitu Xu, 2022, ICML.

Hidden Integrality of SDP Relaxation for Sub-Gaussian Mixture Models

Yudong Chen, Yingjie Fei, Yudong Chen, 2018, COLT.

Dynamic Regret of Policy Optimization in Non-stationary Environments pdf

Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, 2020, NeurIPS.

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence

Qiantong Xu, Lijun Ding, Chengrun Yang, 2020, ICML.

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

Vivek Srikumar, Ashim Gupta, Yingjie Fei, 2023, ArXiv.

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

Zhuoran Yang, Zhaoran Wang, Yudong Chen, 2021, NeurIPS.

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

Zhuoran Yang, Zhaoran Wang, Yingjie Fei, 2021, ICML.

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

Yudong Chen, Yingjie Fei, Yudong Chen, 2019, COLT.

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

Yudong Chen, Yingjie Fei, Yudong Chen, 2019, IEEE Transactions on Information Theory.

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

Yudong Chen, Yingjie Fei, Yudong Chen, 2017, IEEE Transactions on Information Theory.

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

Yudong Chen, Yingjie Fei, 2018, Math. Oper. Res..

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

Zhaoran Wang, Qiaomin Xie, Zhuoran Yang, 2020, NeurIPS.

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

Yingjie Fei, Ruitu Xu, 2022, ArXiv.