SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 686 papers

TitleStatusHype
Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework—0
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Instance-Dependent Generalization Bounds via Optimal Transport—0
A PAC-Bayesian Generalization Bound for Equivariant Networks—0
PAC-Bayesian Offline Contextual Bandits With Guarantees—0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport—0
On the Importance of Gradient Norm in PAC-Bayesian Bounds—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
A New Family of Generalization Bounds Using Samplewise Evaluated CMI—0
Task-Free Continual Learning via Online Discrepancy Distance Learning—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
Stability Analysis and Generalization Bounds of Adversarial TrainingCode0
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel—0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Approximate Description Length, Covering Numbers, and VC Dimension—0
Generalization Bounds for Stochastic Gradient Descent via Localized -Covers—0
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study—0
Stability and Generalization for Markov Chain Stochastic Gradient Methods—0
On Generalization of Decentralized Learning with Separable Data—0
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy—0
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs—0
Generalization In Multi-Objective Machine Learning—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
Teacher Guided Training: An Efficient Framework for Knowledge Transfer—0
On Rademacher Complexity-based Generalization Bounds for Deep Learning—0
Integral Probability Metrics PAC-Bayes BoundsCode0
On Leave-One-Out Conditional Mutual Information For Generalization—0
Robustness Implies Generalization via Data-Dependent Generalization Bounds—0
On how to avoid exacerbating spurious correlations when models are overparameterized—0
Cold Posteriors through PAC-Bayes—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Provable Generalization of Overparameterized Meta-learning Trained with SGD—0
On the Role of Generalization in Transferability of Adversarial Examples—0
Generalization Bounds for Data-Driven Numerical Linear Algebra—0
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence—0
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning—0
What is a Good Metric to Study Generalization of Minimax Learners?—0
Learning Non-Vacuous Generalization Bounds from OptimizationCode0
Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms—0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein DistancesCode0
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed LearningCode0
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization—0
Optimal Weak to Strong Learning—0
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning—0
VC Theoretical Explanation of Double Descent—0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage—0
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization—0
Show:102550
← PrevPage 6 of 14Next →

No leaderboard results yet.