empirical risk minimization

Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data JMLR 2026 Bridging Lifelong and Multi-Task Representation Learning: An Algorithm and a Complexity Measure ALT 2026 Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Group-realizable multi-group learning by minimizing empirical risk ALT 2026 Improving the Convergence of Private Shuffled Gradient Methods with Public Data UAI 2026 Inference with non-differentiable surrogate loss in a general high-dimensional classification framework JMLR 2026 Learning from Synthetic Data: Limitations of ERM ALT 2026 Minimax Limits of k-Fold Cross-Validation via Majority COLT 2026 Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing UAI 2026 Optimal Approximation and Generalization Errors for Deep Convolutional Neural Networks JMLR 2026 Optimal control of the future via prospective learning with control L4DC 2026 Optimal Neural Network Approximation of Smooth Compositional Functions on Sets with Low Intrinsic Dimension COLT 2026 Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes UAI 2026 Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning COLT 2026 Statistical Learning from Attribution Sets COLT 2026 Statistical Learning Theory for Neural Operators JMLR 2026 The Sample Complexity of Parameter-Free Stochastic Convex Optimization JMLR 2026 A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks AISTATS 2025 Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization AISTATS 2025 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 Efficient Optimal PAC Learning ALT 2025 ERM++: An Improved Baseline for Domain Generalization WACV 2025 Feasible Learning AISTATS 2025