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Learning Theory

Learning theory

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Showing 51–100 of 852 papers

TitleStatusHype
Learning Temporal Invariance in Android Malware Detectors—0
Immersion for AI: Immersive Learning with Artificial Intelligence—0
Learning the Integral Quadratic Constraints on Plant-Model Mismatch—0
PAC Learning is just Bipartite Matching (Sort of)—0
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning—0
The Pseudo-Dimension of Contracts—0
Stability and Generalization of Quantum Neural Networks—0
Singular leaning coefficients and efficiency in learning theory—0
Double descent in quantum machine learningCode0
Testing Noise Assumptions of Learning Algorithms—0
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection—0
Gradient Equilibrium in Online Learning: Theory and ApplicationsCode0
On the use of Statistical Learning Theory for model selection in Structural Health Monitoring—0
Monotonic Learning in the PAC Framework: A New Perspective—0
Practical machine learning is learning on small samples—0
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains—0
Hardness of Learning Fixed Parities with Neural Networks—0
Outlier-Robust Linear System Identification Under Heavy-tailed Noise—0
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
Convergence of Statistical Estimators via Mutual Information Bounds—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
An Algorithm-Centered Approach To Model Streaming Data—0
Of Dice and Games: A Theory of Generalized Boosting—0
Effective Rank and the Staircase Phenomenon: New Insights into Neural Network Training Dynamics—0
Unified Inductive Logic: From Formal Learning to Statistical Inference to Supervised Learning—0
NLPrompt: Noise-Label Prompt Learning for Vision-Language ModelsCode2
Geometry of fibers of the multiplication map of deep linear neural networks—0
Learned Random Label Predictions as a Neural Network Complexity Metric—0
Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework—0
Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks—0
Statistical inference for quantum singular models—0
Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial—0
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing—0
Omnipredicting Single-Index Models with Multi-Index Models—0
On the Comparison between Multi-modal and Single-modal Contrastive Learning—0
Representative Social Choice: From Learning Theory to AI Alignment—0
Generation through the lens of learning theory—0
Agnostic Process Tomography—0
A Theoretical Survey on Foundation Models—0
Structure of Artificial Neural Networks -- Empirical Investigations—0
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data—0
Upper Bounds for Learning in Reproducing Kernel Hilbert Spaces for Non IID Samples—0
Online Epsilon Net and Piercing Set for Geometric Concepts—0
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient—0
Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate—0
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodCode1
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic dataCode0
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru—0
Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity—0
The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem—0
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