Distributionally Robust Markov Decision Process with Uncertain Transition Probabilities: A Multiple-Priors Approach
Yue Shi, Yisha Xiang, Ruiqi Liu and Ming Zhao
IISE Transactions, 2026+
Minimax Optimal Deep Neural Network Classifiers under Smooth Decision Boundary
Tianyang Hu, Ruiqi Liu, Zuofeng Shang and Guang Cheng
Journal of Machine Learning Research, 26(136):1-38, 2025
Asymptotic Analysis of Sample-averaged Q-learning
Saunak Kumar Panda, Ruiqi Liu and Yisha Xiang
IEEE Transactions on Information Theory, 71(7): 5601-5619, 2025
Dynamic Resource Matching in Manufacturing using Reinforcement Learning
Saunak Kumar Panda, Yisha Xiang and Ruiqi Liu
European Journal of Operational Research, 318(2): 408-423, 2024
Calibrating Multi-dimensional Complex ODE from Noisy Data via Deep Neural Networks
Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang and Zuofeng Shang
Journal of Statistical Planning and Inference, 232: 106147, 2024
Inverse Regression for Spatially Distributed Functional Data
Suneel Babu Chatla and Ruiqi Liu
Bernoulli, 30(4): 3334-3355, 2024
Nonparametric Inference under B-bits Quantization
Kexuan Li, Ruiqi Liu, Ganggang Xu and Zuofeng Shang
Journal of Machine Learning Research, 25(19): 1-68, 2024
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
Ruiqi Liu, Ganggang Xu and Zuofeng Shang
Statistics and Computing, 33(96), 2023
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks
Kexuan Li, Fangfang Wang, Lingli Yang and Ruiqi Liu
Neurocomputing, 538: 126187, 2023
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
Ruiqi Liu, Mingao Yuan and Zuofeng Shang
Journal of Multivariate Analysis, 191: 105017, 2022
Optimal Nonparametric Inference via Deep Neural Network
Ruiqi Liu, Ben Boukai and Zuofeng Shang
Journal of Mathematical Analysis and Applications, 505(2): 125561, 2022
A Consistent Test of Independence and Goodness-of-fit in Linear Regression Models
Qiqing Yu and Ruiqi Liu
Communications in Statistics - Simulation and Computation, 51(7): 3955-3974, 2022
Testing Community Structure for Hypergraphs
Mingao Yuan, Ruiqi Liu, Yang Feng and Zuofeng Shang
Annals of Statistics, 50(1): 147-169, 2022
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method
Shunan Zhao, Ruiqi Liu and Zuofeng Shang
Journal of Business & Economic Statistics, 39(1): 325-337, 2021
Identification and Estimation in Panel Models with Overspecified Number of Groups
Ruiqi Liu, Zuofeng Shang, Yonghui Zhang and Qiankun Zhou
Journal of Econometrics, 215(2): 574-590, 2020
Identification and Estimation of Parameter Instability in High Dimensional Approximate Factor Models
Ruiqi Liu and Yiru Wang, 2023
Revision at Journal of Applied Econometrics
Statistical Inference with Stochastic Gradient Methods under $\phi$-mixing Data
Ruiqi Liu, Xi Chen and Zuofeng Shang, 2023
Minor Revision at Journal of the American Statistical Association