{"total":25,"rows":[{"id":"2110.06048","title":"The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control","created":"2021-10-12","cited_by_count":10,"area":null},{"id":"2405.20039","title":"Task-Agnostic Machine-Learning-Assisted Inference","created":"2024-05-30","cited_by_count":10,"area":null},{"id":"2308.01475","title":"Interpretable Machine Learning for Discovery: Statistical Challenges \\& Opportunities","created":"2023-08-02","cited_by_count":7,"area":null},{"id":"2207.09097","title":"Lazy Estimation of Variable Importance for Large Neural Networks","created":"2022-07-19","cited_by_count":5,"area":null},{"id":"2103.00674","title":"BEAUTY Powered BEAST","created":"2021-03-01","cited_by_count":3,"area":null},{"id":"2401.15796","title":"High-Dimensional False Discovery Rate Control for Dependent Variables","created":"2024-01-28","cited_by_count":3,"area":null},{"id":"2409.19088","title":"Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop","created":"2024-09-27","cited_by_count":2,"area":null},{"id":"2605.26631","title":"Data-driven sparse identification of governing PDEs via knockoff filters and multi-criteria trade-offs","created":"2026-05-26","cited_by_count":2,"area":null},{"id":"2109.05402","title":"Differentially Private Variable Selection via the Knockoff Filter","created":"2021-09-12","cited_by_count":1,"area":null},{"id":"2203.04483","title":"Error-based Knockoffs Inference for Controlled Feature Selection","created":"2022-03-09","cited_by_count":1,"area":null},{"id":"2203.14504","title":"Black-box Selective Inference via Bootstrapping","created":"2022-03-28","cited_by_count":1,"area":null},{"id":"2301.00545","title":"Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels","created":"2023-01-02","cited_by_count":1,"area":null},{"id":"2401.08386","title":"Deep Learning-based Group Causal Inference in Multivariate Time-series","created":"2024-01-16","cited_by_count":1,"area":null},{"id":"2405.03063","title":"Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection","created":"2024-05-05","cited_by_count":1,"area":null},{"id":"2411.18575","title":"Functional relevance based on the continuous Shapley value","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2501.17889","title":"Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection","created":"2025-01-28","cited_by_count":1,"area":null},{"id":"2203.02849","title":"Variable Selection with the Knockoffs: Composite Null Hypotheses","created":"2022-03-06","cited_by_count":0,"area":null},{"id":"2411.16666","title":"CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors","created":"2024-11-25","cited_by_count":0,"area":null},{"id":"2505.24727","title":"Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2508.04125","title":"Experimental Analysis of Productive Interaction Strategy with ChatGPT: User Study on Function and Project-level Code Generation Tasks","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2508.18901","title":"Sparse minimum Redundancy Maximum Relevance for feature selection","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2510.23906","title":"Group Interventions on Deep Networks for Causal Discovery in Subsystems","created":"2025-10-27","cited_by_count":0,"area":null},{"id":"2604.07464","title":"Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2606.04404","title":"Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2608.00989","title":"Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP","created":"2026-08-02","cited_by_count":0,"area":null}],"next_cursor":null}