conftrace_

empirical risk

43 papers

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Co-occurring keywords

learning theory (519) generalization bound (652) gradient descent (1144) convex optimization (1321) population risk (17) empirical risk minimization (352) stochastic gradient descent (1091) rademacher complexity (109) neural network optimization (1293) stochastic optimization (1060)

Papers

On the Concentration of the Minimizers of Empirical Risks JMLR 2024
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure AAAI 2024
Learning via Surrogate PAC-Bayes NIPS 2024
Data Pruning via Moving-one-Sample-out NIPS 2023
Statistical Robustness of Empirical Risks in Machine Learning JMLR 2023
PGFed: Personalize Each Client's Global Objective for Federated Learning ICCV 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning NIPS 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds AAAI 2023
Benign Underfitting of Stochastic Gradient Descent NIPS 2022
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates JMLR 2022
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022
Domain Generalization without Excess Empirical Risk NIPS 2022
Private Convex Optimization via Exponential Mechanism COLT 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees NIPS 2022
Private Isotonic Regression NIPS 2022
Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021
Matrix Completion with Model-free Weighting ICML 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
Discriminative Complementary-Label Learning with Weighted Loss ICML 2021
Learning with Gradient Descent and Weakly Convex Losses AISTATS 2021
Training Recurrent Neural Networks via Forward Propagation Through Time ICML 2021
Learning discrete distributions with infinite support NIPS 2020
Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020
Hierarchically Robust Representation Learning CVPR 2020
Minimizers of the Empirical Risk and Risk Monotonicity NIPS 2019