bootstrap method

Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 On the Probabilistic Learnability of Compact Neural Network Preimage Bounds AAAI 2026 Variance Estimation and Selecting Good Estimands for Causal Effect Queries UAI 2026 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 An Online Bootstrap for Time Series AISTATS 2024 Nonparametric Regression for 3D Point Cloud Learning JMLR 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Analysis of Variance of Multiple Causal Networks NeurIPS 2023 Bootstrap in High Dimension with Low Computation ICML 2023 Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models ICLR 2023 Error Estimation for Random Fourier Features AISTATS 2023 Multiplier Bootstrap-based Exploration ICML 2023 Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022 Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Establishing Annotation Quality in Multi-label Annotations COLING 2022 k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations ACL 2022 KSD Aggregated Goodness-of-fit Test NeurIPS 2022 The MultiBERTs: BERT Reproductions for Robustness Analysis ICLR 2022 An Online Sequential Test for Qualitative Treatment Effects JMLR 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid AAAI 2020 Error Estimation for Sketched SVD via the Bootstrap ICML 2020