empirical risk minimization

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Exploring Local Norms in Exp-concave Statistical Learning COLT 2023 Federated Learning for Data Streams AISTATS 2023 Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023 Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023 Improved Training of Deep Text Clustering EMNLP 2023 Iterative Approximate Cross-Validation ICML 2023 Learning From Biased Soft Labels NeurIPS 2023 Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023 Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation NeurIPS 2023 On kernel-based statistical learning theory in the mean field limit NeurIPS 2023 Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023 On the Variance, Admissibility, and Stability of Empirical Risk Minimization NeurIPS 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time AISTATS 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization ICLR 2023 Predictive Multiplicity in Probabilistic Classification AAAI 2023 Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play ICLR 2023 ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence NeurIPS 2023 Robust Empirical Risk Minimization with Tolerance ALT 2023 Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023