SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 686 papers

TitleStatusHype
Infinite-dimensional reservoir computing—0
Information Complexity and Generalization Bounds—0
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization—0
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent—0
Information-Theoretic Generalization Bounds for Meta-Learning and Applications—0
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
Information-theoretic generalization bounds for learning from quantum data—0
Information-Theoretic Generalization Bounds for Deep Neural Networks—0
Information-Theoretic Generalization Bounds of Replay-based Continual Learning—0
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds—0
Instance-based Generalization in Reinforcement Learning—0
Instance-Dependent Generalization Bounds via Optimal Transport—0
Integrated Conditional Estimation-Optimization—0
Introduction to Machine Learning—0
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp—0
Kernel Ridge Regression via Partitioning—0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
Large Language Models as Markov Chains—0
Learnability with Indirect Supervision Signals—0
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations—0
Learning-Based Low-Rank Approximations—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
On generalization in moment-based domain adaptation—0
Learning Capacity: A Measure of the Effective Dimensionality of a Model—0
Learning Decisions Offline from Censored Observations with ε-insensitive Operational Costs—0
Learning Distributions by Generative Adversarial Networks: Approximation and Generalization—0
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints—0
Learning finite-dimensional coding schemes with nonlinear reconstruction maps—0
Learning from non-irreducible Markov chains—0
Learning from partial correction—0
Learning from weakly dependent data under Dobrushin's condition—0
Learning Kernels with Random Features—0
Learning latent variable structured prediction models with Gaussian perturbations—0
Learning Multiple Models via Regularized Weighting—0
Learning Multiple Tasks using Shared Hypotheses—0
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters—0
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects—0
Learning Provably Robust Motion Planners Using Funnel Libraries—0
Learning to Classify Quantum Phases of Matter with a Few Measurements—0
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels—0
Length independent generalization bounds for deep SSM architectures—0
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels—0
Lexicographically Fair Learning: Algorithms and Generalization—0
Lifelong Learning by Adjusting Priors—0
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization—0
Lipschitz-Bounded Equilibrium Networks—0
Lipschitz Bounded Equilibrium Networks—0
Loss factorization, weakly supervised learning and label noise robustness—0
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization—0
Show:102550
← PrevPage 9 of 14Next →

No leaderboard results yet.