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bayes error

11 papers

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Co-occurring keywords · papers mentioning both

gaussian process (2) hypothesis testing (2) gaussian process regression (2) learning curve (2) jensen-shannon divergence (2) kernel methods (2) sample complexity (2) binary classification (2) single trial eeg (1) asymptotic analysis (1)

Papers

Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise COLT 2026 Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026 DisCEdit: Model Editing by Identifying Discriminative Components NeurIPS 2024 The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024 Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification ICLR 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability NeurIPS 2023 Evaluating State-of-the-Art Classification Models Against Bayes Optimality NeurIPS 2021 Supervised Binary Hash Code Learning with Jensen Shannon Divergence ICCV 2013 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Kernels and learning curves for Gaussian process regression on random graphs NeurIPS 2009 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006