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Learning Theory

Learning theory

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Showing 1–50 of 852 papers

TitleStatusHype
On the Hardness of Bandit Learning—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well—0
Learning Theory of Decentralized Robust Kernel-Based Learning Algorithm—0
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness—0
A Machine Learning Theory Perspective on Strategic Litigation—0
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks—0
Learning DNF through Generalized Fourier Representations—0
Distribution free M-estimation—0
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate—0
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical SystemsCode0
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping—0
Learning Guarantee of Reward Modeling Using Deep Neural Networks—0
New Statistical and Computational Results for Learning Junta Distributions—0
Lower Bounds for Greedy Teaching Set Constructions—0
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 advantage for learning shallow neural networks with natural data distributions—0
Quantum Neural Network Restatement of Markov Jump Process—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
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration—0
Spherical dimension—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
Sustainable AI: Mathematical Foundations of Spiking Neural Networks—0
The Emergence of Grammar through Reinforcement Learning—0
Quantum Geometry insights in Deep Learning—0
The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems—0
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning—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
Learning Theory for Kernel Bilevel Optimization—0
Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners—0
Parameter Symmetry Potentially Unifies Deep Learning Theory—0
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