empirical risk minimization

Gradient Extrapolation for Debiased Representation Learning ICCV 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025 Learn from Failure: Causality-guided Contrastive Learning for Generalizable Implicit Hate Speech Detection COLING 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 Nearly Optimal Sample Complexity for Learning with Label Proportions ICML 2025 On the Sample Complexity of Next-Token Prediction AISTATS 2025 Partial-Label Learning with Conformal Candidate Cleaning UAI 2025 SEBRA : Debiasing through Self-Guided Bias Ranking ICLR 2025 The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures ICLR 2025 The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning ICLR 2025 Towards Improved Risk Bounds for Transductive Learning IJCAI 2025 What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization ICCV 2025 Accelerating ERM for data-driven algorithm design using output-sensitive techniques NeurIPS 2024 Agnostic Multi-Robust Learning using ERM AISTATS 2024 A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024 Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NeurIPS 2024 ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision WACV 2024 Collaborative Learning with Different Labeling Functions ICML 2024 Context is Environment ICLR 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates ALT 2024 Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024 Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition JMLR 2024 f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization ICLR 2024