SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 686 papers

TitleStatusHype
Quantum Boosting using Domain-Partitioning HypothesesCode0
Integrated Conditional Estimation-Optimization—0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features—0
Explaining generalization in deep learning: progress and fundamental limits—0
Block Contextual MDPs for Continual Learning—0
Learning from non-irreducible Markov chains—0
Information-theoretic generalization bounds for black-box learning algorithmsCode0
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised LearningCode0
Generalization Bounds For Meta-Learning: An Information-Theoretic AnalysisCode0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
Fairness-aware Federated Learning—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Optimization and Adaptive Generalization of Three layer Neural Networks—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Theoretical Analysis of Consistency Regularization with Limited Augmented Data—0
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning—0
Two Regimes of Generalization for Non-Linear Metric Learning—0
Improved Generalization Bound for Deep Neural Networks Using Geometric Functional Analysis—0
Theoretical understanding of adversarial reinforcement learning via mean-field optimal control—0
Robust Generalization of Quadratic Neural Networks via Function Identification—0
Uniform Generalization Bounds for Overparameterized Neural Networks—0
The Impact of Reinitialization on Generalization in Convolutional Neural Networks—0
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank—0
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method—0
Stability and Generalization for Randomized Coordinate Descent—0
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers—0
Generalization bounds for nonparametric regression with β-mixing samples—0
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers—0
Multiaccurate Proxies for Downstream Fairness—0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundCode0
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting—0
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes—0
Compression Implies Generalization—0
Towards Understanding Generalization via Decomposing Excess Risk Dynamics—0
Neural Optimization Kernel: Towards Robust Deep Learning—0
Learning the optimal Tikhonov regularizer for inverse problemsCode0
Learning distinct features helps, provably—0
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms—0
Robust Generalization despite Distribution Shift via Minimum Discriminating InformationCode0
Encoding-dependent generalization bounds for parametrized quantum circuits—0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Fine-grained Generalization Analysis of Structured Output Prediction—0
Towards optimally abstaining from prediction with OOD test examples—0
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds—0
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting—0
Show:102550
← PrevPage 8 of 14Next →

No leaderboard results yet.