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Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
In this paper, we develop an online robust policy evaluation procedure, and establish the limiting distribution of our estimator, based on its Bahadur representation.
Distributed Semi-Supervised Sparse Statistical Inference
The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters.
Majority Vote for Distributed Differentially Private Sign Selection
Simulation studies are conducted to demonstrate the effectiveness of our proposed method.
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
Based on the proposed VRMOM estimator, we develop a general distributed inference algorithm that is robust against Byzantine failures.
Median DC for Sign Recovery: Privacy can be Achieved by Deterministic Algorithms
Privacy-preserving data analysis becomes prevailing in recent years.
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