Ruiqi Liu

According to our database, Ruiqi Liu authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Asymptotic Analysis of Sample-Averaged Q-Learning.

Saunak Kumar Panda, Ruiqi Liu, Yisha Xiang

IEEE Trans. Inf. Theory, July, 2025

Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary.

Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng

J. Mach. Learn. Res., 2025

2024

Nonparametric Inference under B-bits Quantization.

Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang

J. Mach. Learn. Res., 2024

Dynamic resource matching in manufacturing using deep reinforcement learning.

Saunak Kumar Panda, Yisha Xiang, Ruiqi Liu

Eur. J. Oper. Res., 2024

2023

Distributed adaptive nearest neighbor classifier: algorithm and theory.

Ruiqi Liu, Ganggang Xu, Zuofeng Shang

Stat. Comput., October, 2023

Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks.

Kexuan Li, Fangfang Wang, Lingli Yang, Ruiqi Liu

Neurocomputing, June, 2023

2022

Online statistical inference for parameters estimation with linear-equality constraints.

Ruiqi Liu, Mingao Yuan, Zuofeng Shang

J. Multivar. Anal., 2022

2021

Calibrating multi-dimensional complex ODE from noisy data via deep neural networks.

Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang

CoRR, 2021

2020

On Deep Instrumental Variables Estimate.

Ruiqi Liu, Zuofeng Shang, Guang Cheng

CoRR, 2020

2019

Optimal Nonparametric Inference via Deep Neural Network.

Ruiqi Liu, Ben Boukai, Zuofeng Shang

CoRR, 2019

Optimal Nonparametric Inference under Quantization.

Ruiqi Liu, Ganggang Xu, Zuofeng Shang

CoRR, 2019