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

The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024
Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024
Learning via Surrogate PAC-Bayes NIPS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
Optimal deep learning of holomorphic operators between Banach spaces NIPS 2024
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
Stability and L2-penalty in Model Averaging JMLR 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024
Light Unbalanced Optimal Transport NIPS 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance JMLR 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
On the Stability and Generalization of Meta-Learning NIPS 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
Sequence Length Independent Norm-Based Generalization Bounds for Transformers AISTATS 2024
Functions with average smoothness: structure, algorithms, and learning JMLR 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024