conftrace_

generalization bound

652 papers

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Co-occurring keywords

learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NIPS 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023
Recognizable Information Bottleneck IJCAI 2023
Generalization Bounds for Adversarial Metric Learning IJCAI 2023
On Generalization of Decentralized Learning with Separable Data AISTATS 2023
WL meet VC ICML 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NIPS 2023
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NIPS 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023
Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023
Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023
How much does Initialization Affect Generalization? ICML 2023
On Certified Generalization in Structured Prediction NIPS 2023
Generalization Bounds for Adversarial Contrastive Learning JMLR 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023
An Information Theory Perspective on Variance-Invariance-Covariance Regularization NIPS 2023
Federated Domain Generalization With Generalization Adjustment CVPR 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023