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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

Generalization Bounds for Adversarial Metric Learning IJCAI 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023
How much does Initialization Affect Generalization? ICML 2023
Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023
Label Distribution Changing Learning with Sample Space Expanding JMLR 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023
Double-Weighting for Covariate Shift Adaptation ICML 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Distribution Free Domain Generalization ICML 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks NIPS 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation AISTATS 2023
Generalization Analysis for Contrastive Representation Learning ICML 2023
Nearly-tight Bounds for Deep Kernel Learning ICML 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023
On Certified Generalization in Structured Prediction NIPS 2023
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023
Generalization Bounds for Adversarial Contrastive Learning JMLR 2023
Compression, Generalization and Learning JMLR 2023
Revisiting minimum description length complexity in overparameterized models JMLR 2023