conftrace_

generalization error

285 papers

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GE

Co-occurring keywords

generalization bound (652) stochastic gradient descent (1091) neural network (6616) learning theory (519) double descent (52) sample complexity (1169) active learning (1301) gradient descent (1144) support vector machine (978) neural network optimization (1293)

Papers

Towards Understanding Ensemble Distillation in Federated Learning ICML 2023
How Does Information Bottleneck Help Deep Learning? ICML 2023
How many samples are needed to leverage smoothness? NIPS 2023
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022
Uniform Stability for First-Order Empirical Risk Minimization COLT 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022
Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks COLT 2022
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning JMLR 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics AISTATS 2022
On the Generalization of Representations in Reinforcement Learning AISTATS 2022
Online Decision Mediation NIPS 2022
Personalized Federated Learning via Variational Bayesian Inference ICML 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm AISTATS 2022
The Tree Loss: Improving Generalization with Many Classes AISTATS 2022
Zero-shot Cross-lingual Transfer is Under-specified Optimization ACL 2022
Failure Modes of Domain Generalization Algorithms CVPR 2022
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models INTERSPEECH 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures NIPS 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022
Learning to Transfer with von Neumann Conditional Divergence AAAI 2022
Asymptotic optimality for active learning processes UAI 2022
Learning sparse features can lead to overfitting in neural networks NIPS 2022
Learning with convolution and pooling operations in kernel methods NIPS 2022
Sharpness-Aware Training for Free NIPS 2022