{"total":17,"rows":[{"id":"2103.02860","title":"Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference","created":"2021-03-04","cited_by_count":11,"area":null},{"id":"2110.13113","title":"Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees","created":"2021-10-25","cited_by_count":8,"area":null},{"id":"2111.14008","title":"Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling","created":"2021-11-28","cited_by_count":8,"area":null},{"id":"2102.10080","title":"Distributed Bootstrap for Simultaneous Inference Under High Dimensionality","created":"2021-02-19","cited_by_count":4,"area":null},{"id":"2202.05498","title":"Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach","created":"2022-02-11","cited_by_count":4,"area":null},{"id":"2504.08178","title":"A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression","created":"2025-04-11","cited_by_count":3,"area":null},{"id":"2405.07552","title":"Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery","created":"2024-05-13","cited_by_count":2,"area":null},{"id":"2408.01307","title":"Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties","created":"2024-08-02","cited_by_count":2,"area":null},{"id":"2306.10395","title":"Distributed Semi-Supervised Sparse Statistical Inference","created":"2023-06-17","cited_by_count":1,"area":null},{"id":"2508.05212","title":"High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2102.10771","title":"Divide-and-conquer methods for big data analysis","created":"2021-02-22","cited_by_count":0,"area":null},{"id":"2210.08393","title":"Distributed Estimation and Inference for Semi-parametric Binary Response Models","created":"2022-10-15","cited_by_count":0,"area":null},{"id":"2403.11163","title":"A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques","created":"2024-03-17","cited_by_count":0,"area":null},{"id":"2404.15095","title":"Using ARIMA to Predict the Expansion of Subscriber Data Consumption","created":"2024-04-23","cited_by_count":0,"area":null},{"id":"2408.05640","title":"Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties","created":"2024-08-10","cited_by_count":0,"area":null},{"id":"2503.02178","title":"Central Limit Theorems for Stochastic Gradient Descent Quantile Estimators","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2503.07563","title":"Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine","created":"2025-03-10","cited_by_count":0,"area":null}],"next_cursor":null}