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Learning Theory

Learning theory

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Showing 51–100 of 852 papers

TitleStatusHype
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework—0
Data Selection for ERMs—0
Erzeugunsgrad, VC-Dimension and Neural Networks with rational activation function—0
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning TheoryCode0
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models—0
Programs as Singularities—0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability—0
Learning to erase quantum states: thermodynamic implications of quantum learning theory—0
DDPM Score Matching and Distribution Learning—0
Resurrecting Socrates in the Age of AI: A Study Protocol for Evaluating a Socratic Tutor to Support Research Question Development in Higher Education—0
Deep Neural Nets as Hamiltonians—0
Quantum Neural Network Restatement of Markov Jump Process—0
Quantum advantage for learning shallow neural networks with natural data distributions—0
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime—0
Borsuk-Ulam and Replicable Learning of Large-Margin Halfspaces—0
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence—0
Spherical dimension—0
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration—0
Redefining Fitness: Evolution as a Dynamic Learning Process—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
A Linear Theory of Multi-Winner Voting—0
The Emergence of Grammar through Reinforcement Learning—0
Sustainable AI: Mathematical Foundations of Spiking Neural Networks—0
Quantum Geometry insights in Deep Learning—0
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning—0
The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems—0
Towards a Learning Theory of Representation Alignment—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners—0
Learning Theory for Kernel Bilevel Optimization—0
Learning Temporal Invariance in Android Malware Detectors—0
Parameter Symmetry Potentially Unifies Deep Learning Theory—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
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection—0
Testing Noise Assumptions of Learning Algorithms—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
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