SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 686 papers

TitleStatusHype
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
A Mechanism of Implicit Regularization in Deep Learning—0
GraphMix: Improved Training of GNNs for Semi-Supervised LearningCode0
PAC-Bayesian Neural Network Bounds—0
A Uniform Generalization Error Bound for Generative Adversarial Networks—0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Efron-Stein PAC-Bayesian Inequalities—0
On the Downstream Performance of Compressed Word EmbeddingsCode0
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes—0
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design—0
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant LossesCode0
Learning from weakly dependent data under Dobrushin's condition—0
Robust Regression for Safe Exploration in Control—0
Decoupling Gating from Linearity—0
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs—0
Maximum Weighted Loss DiscrepancyCode0
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks—0
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience—0
Generalization bounds for deep convolutional neural networks—0
An adaptive nearest neighbor rule for classificationCode0
Generalization Bounds in the Predict-then-Optimize Framework—0
An Algorithmic Framework for Fairness ElicitationCode0
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural NetworksCode0
The role of invariance in spectral complexity-based generalization bounds—0
Gradient Descent can Learn Less Over-parameterized Two-layer Neural Networks on Classification Problems—0
Show:102550
← PrevPage 22 of 28Next →

No leaderboard results yet.