SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 686 papers

TitleStatusHype
Statistical Spatially Inhomogeneous Diffusion Inference—0
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities—0
Stopping criterion for active learning based on deterministic generalization bounds—0
Stronger generalization bounds for deep nets via a compression approach—0
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework—0
Supervised classification via minimax probabilistic transformations—0
Supervised Metric Learning with Generalization Guarantees—0
Support and Invertibility in Domain-Invariant Representations—0
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds—0
Survey & Experiment: Towards the Learning Accuracy—0
Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks—0
Task-Free Continual Learning via Online Discrepancy Distance Learning—0
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
Teacher Guided Training: An Efficient Framework for Knowledge Transfer—0
The Generalization Error of Dictionary Learning with Moreau Envelopes—0
The Impact of Reinitialization on Generalization in Convolutional Neural Networks—0
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers—0
The Landscape of Deep Learning Algorithms—0
Theoretical Analysis of Consistency Regularization with Limited Augmented Data—0
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees—0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data—0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport—0
Theoretical understanding of adversarial reinforcement learning via mean-field optimal control—0
Power of Quantum Generative Learning—0
The Structured Weighted Violations Perceptron Algorithm—0
The Structure of Optimal Private Tests for Simple Hypotheses—0
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms—0
Tight Generalization Bounds for Large-Margin Halfspaces—0
Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning—0
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation—0
Time-independent Generalization Bounds for SGLD in Non-convex Settings—0
Time-Independent Information-Theoretic Generalization Bounds for SGLD—0
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms—0
To understand deep learning we need to understand kernel learning—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
Towards a Unified Information-Theoretic Framework for Generalization—0
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization—0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
Towards optimally abstaining from prediction with OOD test examples—0
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness—0
Towards Sharper Generalization Bounds for Structured Prediction—0
Towards Sharper Information-theoretic Generalization Bounds for Meta-Learning—0
Towards Sharper Risk Bounds for Minimax Problems—0
Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis—0
Towards Understanding Generalization via Decomposing Excess Risk Dynamics—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features—0
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training—0
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States—0
Show:102550
← PrevPage 10 of 14Next →

No leaderboard results yet.