generalization bound

Recognizable Information Bottleneck IJCAI 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds NeurIPS 2023 Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023 Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023 Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR 2023 Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process ICLR 2023 Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023 Sparsity-aware generalization theory for deep neural networks COLT 2023 Stability and Generalization of lp-Regularized Stochastic Learning for GCN IJCAI 2023 Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NeurIPS 2023 Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023 Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD AAAI 2023 Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory NeurIPS 2023 The Ideal Continual Learner: An Agent That Never Forgets ICML 2023 The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023 Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023 The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance NeurIPS 2023 Tighter Information-Theoretic Generalization Bounds from Supersamples ICML 2023 Tighter PAC-Bayes Bounds Through Coin-Betting COLT 2023 Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023 Time-Independent Information-Theoretic Generalization Bounds for SGLD NeurIPS 2023 Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NeurIPS 2023 Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023 Towards the Generalization of Contrastive Self-Supervised Learning ICLR 2023