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

Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022
Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022
When are Local Queries Useful for Robust Learning? NIPS 2022
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification AAAI 2022
First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling NIPS 2022
Invariant Grounding for Video Question Answering CVPR 2022
On Feature Learning in the Presence of Spurious Correlations NIPS 2022
Algorithms that Approximate Data Removal: New Results and Limitations NIPS 2022
Multiclass classification for Hawkes processes UAI 2022
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses NIPS 2022
Momentum Aggregation for Private Non-convex ERM NIPS 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal NIPS 2022
Localization, Convexity, and Star Aggregation NIPS 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data NIPS 2021
Learning with User-Level Privacy NIPS 2021
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach NIPS 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning NIPS 2021
Distributionally Robust Multilingual Machine Translation EMNLP 2021
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs NIPS 2021
Just Train Twice: Improving Group Robustness without Training Group Information ICML 2021
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees ICML 2021
Gradient-Based Algorithms for Machine Teaching CVPR 2021