conftrace_

early stopping

76 papers

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Co-occurring keywords

gradient descent (1144) hyperparameter optimization (406) generalization bound (652) kernel methods (1097) reproducing kernel hilbert space (334) neural network (6616) ensemble learning (1274) stochastic gradient descent (1091) learning rate (192) iterative regularization (8)

Papers

Operation-Level Early Stopping for Robustifying Differentiable NAS NIPS 2023
The Benefits of Mixup for Feature Learning ICML 2023
On the Generalization Properties of Diffusion Models NIPS 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations NIPS 2023
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels ICCV 2023
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods AUTOML 2023
On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022
Early Stopping Based on Unlabeled Samples in Text Classification ACL 2022
Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NIPS 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks NIPS 2022
Automatic Termination for Hyperparameter Optimization AUTOML 2022
Semi-supervised novelty detection using ensembles with regularized disagreement UAI 2022
On the Benefits of Large Learning Rates for Kernel Methods COLT 2022
**Paper retracted by author request (see pdf for retraction notice from the authors)** Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping COLT 2021
Rejection Sampling for Weighted Jaccard Similarity Revisited AAAI 2021
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021
Early-stopped neural networks are consistent NIPS 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels NIPS 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021
Stability and Generalization for Randomized Coordinate Descent IJCAI 2021
Relating Adversarially Robust Generalization to Flat Minima ICCV 2021
Implicit Sparse Regularization: The Impact of Depth and Early Stopping NIPS 2021
The Statistical Complexity of Early-Stopped Mirror Descent NIPS 2020