Fengpei Li - RankMe

23 papers A* 2A 6B 1C 1Misc 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Positive Definite Sparse Covariance Estimation via Dual Space Optimization. AAAI Fengpei Li, Wenfu Xia, Ziping Zhao
2025	A	`conf`	Covariance Selection over Networks. AISTATS Wenfu Xia, Fengpei Li, Ying Sun, Ziping Zhao
2025	—	`conf`	Large Sparse Covariance Matrix Estimation via Dual Proximal Gradient Method. APSIPA Fengpei Li, Ziping Zhao
2025	J	`jnl`	Reweighting Improves Conditional Risk Bounds. CoRR Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
2025	J	`jnl`	Reweighting Improves Conditional Risk Bounds. Trans. Mach. Learn. Res. Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
2024	J	`jnl`	A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization. IEEE Trans. Signal Process. Shuoguang Yang, Fengpei Li
2024	B	`conf`	Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution. ISIT Fengpei Li, Ziping Zhao
2024	J	`jnl`	Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate. CoRR Fengpei Li, Haoxian Chen, Jiahe Lin, Arkin Gupta, Xiaowei Tan, Gang Xu, Yuriy Nevmyvaka, Agostino Capponi, Henry Lam
2023	A	`conf`	Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics. UAI Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam
2023	—	`conf`	Efficient Sparse Reduced-Rank Regression With Covariance Estimation. SSP Fengpei Li, Ziping Zhao
2023	A	`conf`	Information theoretic clustering via divergence maximization among clusters. UAI Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi
2023	A*	`conf`	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. ICML Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
2023	J	`jnl`	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. CoRR Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
2023	A	`conf`	Risk Bounds on Aleatoric Uncertainty Recovery. AISTATS Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka
2023	J	`jnl`	Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes. CoRR Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam
2022	J	`jnl`	General Feasibility Bounds for Sample Average Approximation via Vapnik-Chervonenkis Dimension. SIAM J. Optim. Henry Lam, Fengpei Li
2022	A	`conf`	Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
2021	J	`jnl`	Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
2020	C	`conf`	Constrained Reinforcement Learning via Policy Splitting. ACML Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami
2020	J	`jnl`	Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View. ACM Trans. Model. Comput. Simul. Henry Lam, Fengpei Li
2020	A	`conf`	Robust Importance Weighting for Covariate Shift. AISTATS Fengpei Li, Henry Lam, Siddharth Prusty
2019	J	`jnl`	Robust Importance Weighting for Covariate Shift. CoRR Henry Lam, Fengpei Li, Siddharth Prusty
2018	Misc	`conf`	Sampling uncertain Constraints under parametric distributions. WSC Henry Lam, Fengpei Li