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conftrace_

empirical risk minimization

424 papers

ERM

Papers

Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023 Set-valued Classification with Out-of-distribution Detection for Many Classes JMLR 2023 Statistical Learning under Heterogeneous Distribution Shift ICML 2023 The Price of Differential Privacy under Continual Observation ICML 2023 Towards Last-layer Retraining for Group Robustness with Fewer Annotations NeurIPS 2023 Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete NeurIPS 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization NeurIPS 2023 Understanding Why Generalized Reweighting Does Not Improve Over ERM ICLR 2023 Universality laws for Gaussian mixtures in generalized linear models NeurIPS 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023 A framework for bilevel optimization that enables stochastic and global variance reduction algorithms NeurIPS 2022 Algorithms that Approximate Data Removal: New Results and Limitations NeurIPS 2022 An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization AISTATS 2022 A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal NeurIPS 2022 Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022 Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification AAAI 2022 Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022 Empirical Risk Minimization under Random Censorship JMLR 2022 Environment Diversification with Multi-head Neural Network for Invariant Learning NeurIPS 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022 Focus on the Common Good: Group Distributional Robustness Follows ICLR 2022 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NeurIPS 2022 Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses NeurIPS 2022 Invariant Grounding for Video Question Answering CVPR 2022