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Learning Theory

Learning theory

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Showing 301–350 of 852 papers

TitleStatusHype
A learning theory for quantum photonic processors and beyond—0
Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs—0
A Characterization of List Learnability—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
Computable learning of natural hypothesis classes—0
Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models—0
Applying statistical learning theory to deep learning—0
Geometry of fibers of the multiplication map of deep linear neural networks—0
Generative Models of Huge Objects—0
Compressive Learning for Semi-Parametric Models—0
Generative learning for nonlinear dynamics—0
Generation through the lens of learning theory—0
Compression, Generalization and Learning—0
Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory—0
Geometry Perspective Of Estimating Learning Capability Of Neural Networks—0
Unsupervised parameter selection for denoising with the elastic net—0
Empirical Risk Minimization in the Interpolating Regime with Application to Neural Network Learning—0
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
Good Classifiers are Abundant in the Interpolating Regime—0
Gradient-based Competitive Learning: Theory—0
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory—0
Graph Classification via Reference Distribution Learning: Theory and Practice—0
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective—0
Generalized Leverage Score Sampling for Neural Networks—0
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability—0
Grokking phase transitions in learning local rules with gradient descent—0
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network—0
Hardness of Learning Fixed Parities with Neural Networks—0
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm—0
Generalization Properties of NAS under Activation and Skip Connection Search—0
A PAC Approach to Application-Specific Algorithm Selection—0
Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method—0
Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data—0
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression—0
Generalization Properties of hyper-RKHS and its Applications—0
Generalization In Multi-Objective Machine Learning—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Human Active Learning—0
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes—0
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection—0
Illuminating Dark Knowledge via Random Matrix Ensembles—0
Immersion for AI: Immersive Learning with Artificial Intelligence—0
Impact of Data Augmentation on QCNNs—0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
Collaborative prediction with expert advice—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
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