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risk consistency

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Co-occurring keywords · papers mentioning both

weakly supervised learning (4) classifier consistency (2) loss function (2) support vector machine (2) importance weighting (2) multi-class classification (2) partial label learning (2) smoothing parameter (1) generation model (1) kernel methods (1)

Papers

Consistent Multi-Class Classification from Multiple Unlabeled Datasets ICLR 2024 On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024 Binary Classification with Confidence Difference NeurIPS 2023 Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NeurIPS 2023 Leveraged Weighted Loss for Partial Label Learning ICML 2021 Principled learning method for Wasserstein distributionally robust optimization with local perturbations ICML 2020 Provably Consistent Partial-Label Learning NeurIPS 2020 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 The lasso, persistence, and cross-validation ICML 2013 Estimating beta-mixing coefficients AISTATS 2011