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conftrace_

generalization bound

811 papers

Papers

Towards Improved Risk Bounds for Transductive Learning IJCAI 2025 Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025 Universal generalization guarantees for Wasserstein distributionally robust models ICLR 2025 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NeurIPS 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses ICML 2024 A path-norm toolkit for modern networks: consequences, promises and challenges ICLR 2024 Asymmetry in Low-Rank Adapters of Foundation Models ICML 2024 A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples ICML 2024 Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization COLT 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Comparing Comparators in Generalization Bounds AISTATS 2024 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond NeurIPS 2024 Confidence-aware Contrastive Learning for Selective Classification ICML 2024 Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NeurIPS 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NeurIPS 2024 Fair Off-Policy Learning from Observational Data ICML 2024 Fantastic Generalization Measures are Nowhere to be Found ICLR 2024 Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random NeurIPS 2024 From Generalization Analysis to Optimization Designs for State Space Models ICML 2024 Functions with average smoothness: structure, algorithms, and learning JMLR 2024 Generalization Analysis for Label-Specific Representation Learning NeurIPS 2024 Generalization Analysis for Multi-Label Learning ICML 2024 Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure AAAI 2024