empirical risk minimization

Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020 Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020 Gradient descent follows the regularization path for general losses COLT 2020 Hierarchically Robust Representation Learning CVPR 2020 High probability guarantees for stochastic convex optimization COLT 2020 Learning Bounds for Risk-sensitive Learning NeurIPS 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 Learning From Multi-Dimensional Partial Labels IJCAI 2020 Learning Interpretable Models using Soft Integrity Constraints ACML 2020 Leverage Score Sampling for Faster Accelerated Regression and ERM ALT 2020 Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach AISTATS 2020 On Suboptimality of Least Squares with Application to Estimation of Convex Bodies COLT 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020 Oracle Efficient Private Non-Convex Optimization ICML 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates ICML 2020 Probably Approximately Correct Constrained Learning NeurIPS 2020 Proper Learning, Helly Number, and an Optimal SVM Bound COLT 2020 Risk Bounds for Reservoir Computing JMLR 2020 Robust high dimensional learning for Lipschitz and convex losses JMLR 2020 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis ICML 2020 Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions AISTATS 2020 Self-Adaptive Training: beyond Empirical Risk Minimization NeurIPS 2020 Sharp Asymptotics and Optimal Performance for Inference in Binary Models AISTATS 2020 Smoothly Bounding User Contributions in Differential Privacy NeurIPS 2020