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

Tighter PAC-Bayes Bounds Through Coin-Betting COLT 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023
How much does Initialization Affect Generalization? ICML 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels NIPS 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023
Generalization Analysis for Contrastive Representation Learning ICML 2023
Nearly-tight Bounds for Deep Kernel Learning ICML 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN IJCAI 2023
Generalization Bounds using Data-Dependent Fractal Dimensions ICML 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples ICML 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
Distribution Free Domain Generalization ICML 2023
Towards Understanding Generalization of Graph Neural Networks ICML 2023
Double-Weighting for Covariate Shift Adaptation ICML 2023
The Ideal Continual Learner: An Agent That Never Forgets ICML 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Online Constrained Meta-Learning: Provable Guarantees for Generalization NIPS 2023
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation AISTATS 2023
On Certified Generalization in Structured Prediction NIPS 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning ICML 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023