empirical risk minimization

Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022 Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022 Momentum Aggregation for Private Non-convex ERM NeurIPS 2022 Multiclass classification for Hawkes processes UAI 2022 Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022 On Feature Learning in the Presence of Spurious Correlations NeurIPS 2022 On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022 Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization ICLR 2022 Robustly-reliable learners under poisoning attacks COLT 2022 SelecMix: Debiased Learning by Contradicting-pair Sampling NeurIPS 2022 Supervised Learning with General Risk Functionals ICML 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 Towards Understanding the Data Dependency of Mixup-style Training ICLR 2022 Uniform Stability for First-Order Empirical Risk Minimization COLT 2022 Universality of empirical risk minimization COLT 2022 Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate ICLR 2022 VC dimension of partially quantized neural networks in the overparametrized regime ICLR 2022 When are Local Queries Useful for Robust Learning? NeurIPS 2022 Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees ICML 2021 An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NeurIPS 2021 Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification ICLR 2021 Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization COLT 2021 Consistency and Finite Sample Behavior of Binary Class Probability Estimation AAAI 2021 Differentially Private Empirical Risk Minimization under the Fairness Lens NeurIPS 2021 Distributionally Robust Multilingual Machine Translation EMNLP 2021