conftrace_

resampling method

11 papers

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Co-occurring keywords · papers mentioning both

uncertainty quantification (3) bootstrap method (2) ensemble learning (2) bootstrapped lasso (1) multi-task evaluation (1) imbalanced dataset (1) monte carlo dropout (1) transition matrix (1) model auditing (1) mixture proportion estimation (1)

Papers

Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies AAAI 2026 Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation IJCNLP 2025 An Online Bootstrap for Time Series AISTATS 2024 Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning ICLR 2024 Mixture Proportion Estimation Beyond Irreducibility ICML 2023 On the Theoretical Properties of the Network Jackknife ICML 2020 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Semi-Analytic Resampling in Lasso JMLR 2019 Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning JMLR 2017 Fast Resampling Weighted v-Statistics NeurIPS 2012