early stopping

Operation-Level Early Stopping for Robustifying Differentiable NAS NeurIPS 2023 Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods AutoML 2023 PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels ICCV 2023 PASHA: Efficient HPO and NAS with Progressive Resource Allocation ICLR 2023 Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023 Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations NeurIPS 2023 The Benefits of Mixup for Feature Learning ICML 2023 Automatic Termination for Hyperparameter Optimization AutoML 2022 Early Stopping Based on Unlabeled Samples in Text Classification ACL 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022 On the Benefits of Large Learning Rates for Kernel Methods COLT 2022 Semi-supervised novelty detection using ensembles with regularized disagreement UAI 2022 Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks NeurIPS 2022 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NeurIPS 2022 Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021 Bag of Tricks for Adversarial Training ICLR 2021 Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate ICLR 2021 Early-stopped neural networks are consistent NeurIPS 2021 Early Stopping in Deep Networks: Double Descent and How to Eliminate it ICLR 2021 Implicit Sparse Regularization: The Impact of Depth and Early Stopping NeurIPS 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 **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 Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021 Rejection Sampling for Weighted Jaccard Similarity Revisited AAAI 2021