generalization bound

What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS 2022 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 A Learning Theoretic Perspective on Local Explainability ICLR 2021 Algorithmic stability and generalization of an unsupervised feature selection algorithm NeurIPS 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NeurIPS 2021 An optimization and generalization analysis for max-pooling networks UAI 2021 A PAC-Bayes Analysis of Adversarial Robustness NeurIPS 2021 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks ICLR 2021 ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks ICML 2021 A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021 A Universal Law of Robustness via Isoperimetry NeurIPS 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021 Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021 Distance-Based Regularisation of Deep Networks for Fine-Tuning ICLR 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021 Estimating Lipschitz constants of monotone deep equilibrium models ICLR 2021 Failures of Model-dependent Generalization Bounds for Least-norm Interpolation JMLR 2021 Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers ICLR 2021 Fine-grained Generalization Analysis of Inductive Matrix Completion NeurIPS 2021 Fine-grained Generalization Analysis of Structured Output Prediction IJCAI 2021 Fine-grained Generalization Analysis of Vector-Valued Learning AAAI 2021 Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime JMLR 2021 Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NeurIPS 2021 Functions with average smoothness: structure, algorithms, and learning COLT 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021