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2020 – today
- 2024
[j3]Shuoguang Yang
, Fengpei Li:
A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization. IEEE Trans. Signal Process. 72: 2333-2347 (2024)- [c10]Fengpei Li, Ziping Zhao:
Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution. ISIT 2024: 3414-3419 - 2023
- [c9]Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka:
Risk Bounds on Aleatoric Uncertainty Recovery. AISTATS 2023: 6015-6036 - [c8]Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka:
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. ICML 2023: 4485-4513 - [c7]Fengpei Li, Ziping Zhao:
Efficient Sparse Reduced-Rank Regression With Covariance Estimation. SSP 2023: 46-50 - [c6]Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam:
Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics. UAI 2023: 369-380 - [c5]Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi:
Information theoretic clustering via divergence maximization among clusters. UAI 2023: 624-634 - [i4]Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka:
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. CoRR abs/2305.07247 (2023) - [i3]Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam:
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes. CoRR abs/2305.18412 (2023) - 2022
- [j2]Henry Lam, Fengpei Li:
General Feasibility Bounds for Sample Average Approximation via Vapnik-Chervonenkis Dimension. SIAM J. Optim. 32(2): 1471-1497 (2022) - [c4]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS 2022: 12919-12926 - 2021
- [i2]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR abs/2106.10566 (2021) - 2020
- [j1]Henry Lam, Fengpei Li:
Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View. ACM Trans. Model. Comput. Simul. 30(4): 21:1-21:41 (2020) - [c3]Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami:
Constrained Reinforcement Learning via Policy Splitting. ACML 2020: 209-224 - [c2]Fengpei Li, Henry Lam, Siddharth Prusty:
Robust Importance Weighting for Covariate Shift. AISTATS 2020: 352-362
2010 – 2019
- 2019
- [i1]Henry Lam, Fengpei Li, Siddharth Prusty:
Robust Importance Weighting for Covariate Shift. CoRR abs/1910.06324 (2019) - 2018
- [c1]Henry Lam, Fengpei Li:
Sampling uncertain Constraints under parametric distributions. WSC 2018: 2072-2083
Coauthor Index
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