conftrace_

empirical risk minimization

352 papers

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Also known as

ERM

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) differential privacy (1016) stochastic gradient descent (1091) learning theory (519) generalization bound (652) sample complexity (1169) non-convex optimization (547) domain generalization (1522) distributionally robust optimization (185)

Papers

Exploring Local Norms in Exp-concave Statistical Learning COLT 2023
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation NIPS 2023
Easy Learning from Label Proportions NIPS 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test INTERSPEECH 2023
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023
Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023
Distributed Personalized Empirical Risk Minimization NIPS 2023
PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time AISTATS 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023
Universality laws for Gaussian mixtures in generalized linear models NIPS 2023
Robust Empirical Risk Minimization with Tolerance ALT 2023
Variance-Reduced Conservative Policy Iteration ALT 2023
Iterative Approximate Cross-Validation ICML 2023
SelecMix: Debiased Learning by Contradicting-pair Sampling NIPS 2022
On Feature Learning in the Presence of Spurious Correlations NIPS 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization AISTATS 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022
Empirical Risk Minimization under Random Censorship JMLR 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal NIPS 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022
First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022