Ruiqi Liu

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Asymptotic Analysis of Sample-Averaged Q-Learning.
IEEE Trans. Inf. Theory
Saunak Kumar Panda, Ruiqi Liu, Yisha Xiang
2025 J jnl
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary.
J. Mach. Learn. Res.
Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng
2024 J jnl
Dynamic resource matching in manufacturing using deep reinforcement learning.
Eur. J. Oper. Res.
Saunak Kumar Panda, Yisha Xiang, Ruiqi Liu
2024 J jnl
Nonparametric Inference under B-bits Quantization.
J. Mach. Learn. Res.
Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2023 J jnl
Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks.
Neurocomputing
Kexuan Li, Fangfang Wang, Lingli Yang, Ruiqi Liu
2023 J jnl
Distributed adaptive nearest neighbor classifier: algorithm and theory.
Stat. Comput.
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2022 J jnl
Online statistical inference for parameters estimation with linear-equality constraints.
J. Multivar. Anal.
Ruiqi Liu, Mingao Yuan, Zuofeng Shang
2021 J jnl
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks.
CoRR
Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang
2021 J jnl
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory.
CoRR
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2021 J jnl
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints.
CoRR
Ruiqi Liu, Mingao Yuan, Zuofeng Shang
2020 J jnl
On Deep Instrumental Variables Estimate.
CoRR
Ruiqi Liu, Zuofeng Shang, Guang Cheng
2019 J jnl
Optimal Nonparametric Inference under Quantization.
CoRR
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2019 J jnl
Optimal Nonparametric Inference via Deep Neural Network.
CoRR
Ruiqi Liu, Ben Boukai, Zuofeng Shang