Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models. - Yingjie Fei; Yudong Chen 001 (COLT, 2018)

Hidden Integrality of SDP Relaxation for Sub-Gaussian Mixture Models. - Yingjie Fei; Yudong Chen 001 (CoRR, 2018)

Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly. - Yingjie Fei; Yudong Chen 001 (COLT, 2019)

Exponential Error Rates of SDP for Block Models: Beyond Grothendieck's Inequality. - Yingjie Fei; Yudong Chen 001 (IEEE Trans. Inf. Theory, 2019)

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence. - Lijun Ding; Yingjie Fei; Qiantong Xu; Chengrun Yang (ICML, 2020)

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. - Yingjie Fei; Zhuoran Yang; Yudong Chen 001; Zhaoran Wang 001; Qiaomin Xie (NeurIPS, 2020)

Dynamic Regret of Policy Optimization in Non-Stationary Environments. - Yingjie Fei; Zhuoran Yang; Zhaoran Wang 001; Qiaomin Xie (NeurIPS, 2020)

Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly. - Yingjie Fei; Yudong Chen 001 (IEEE Trans. Inf. Theory, 2020)

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach. - Yingjie Fei; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2021)

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. - Yingjie Fei; Zhuoran Yang; Yudong Chen 001; Zhaoran Wang 001 (NeurIPS, 2021)

Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning. - Yingjie Fei; Ruitu Xu (ICML, 2022)

Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning. - Yingjie Fei; Ruitu Xu (CoRR, 2022)

Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model. - Yingjie Fei; Yudong Chen 001 (Math. Oper. Res., 2022)

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 (ACL (1), 2023)

Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning. - Yingjie Fei; Ruitu Xu (CoRR, 2024)