conftrace_

early stopping

76 papers

Explore in graph

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

Greedy Convex Ensemble IJCAI 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020
Overfitting in adversarially robust deep learning ICML 2020
Learning to Rank Learning Curves ICML 2020
Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set IJCNLP 2019
A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019
Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019
Faster Boosting with Smaller Memory NIPS 2019
Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping JMLR 2019
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018
Early Stopping for Nonparametric Testing NIPS 2018
The Dynamics of Learning: A Random Matrix Approach ICML 2018
Optimal Rates for Multi-pass Stochastic Gradient Methods JMLR 2017
Early stopping for kernel boosting algorithms: A general analysis with localized complexities NIPS 2017
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
Iterative Regularization for Learning with Convex Loss Functions JMLR 2016
NYTRO: When Subsampling Meets Early Stopping AISTATS 2016
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014
Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner ICML 2013
Fast Object Detection with Entropy-Driven Evaluation CVPR 2013
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010