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Learning Theory

Learning theory

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Showing 301–350 of 852 papers

TitleStatusHype
Generalization Error Bounds for Learning under Censored Feedback—0
Generalization Error Bounds for Noisy, Iterative Algorithms—0
A Framework of Learning Through Empirical Gain Maximization—0
Graph-based Discriminators: Sample Complexity and Expressiveness—0
Generalization In Multi-Objective Machine Learning—0
Generalization Properties of hyper-RKHS and its Applications—0
Generalization Properties of NAS under Activation and Skip Connection Search—0
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm—0
Generalized Leverage Score Sampling for Neural Networks—0
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory—0
Generation through the lens of learning theory—0
Generative learning for nonlinear dynamics—0
Generative Models of Huge Objects—0
Geometry of fibers of the multiplication map of deep linear neural networks—0
Geometry Perspective Of Estimating Learning Capability Of Neural Networks—0
Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models—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
Exponential Hardness of Reinforcement Learning with Linear Function Approximation—0
Gradient-based Competitive Learning: Theory—0
Computing the Shattering Coefficient of Supervised Learning Algorithms—0
Graph Classification via Reference Distribution Learning: Theory and Practice—0
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective—0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification—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
Hallucination is Inevitable: An Innate Limitation of Large Language Models—0
Hardness of Learning Fixed Parities with Neural Networks—0
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise—0
Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—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
Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications—0
How many samples are needed to leverage smoothness?—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Human Active Learning—0
Human Rademacher Complexity—0
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity—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
Explaining generalization in deep learning: progress and fundamental limits—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints—0
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design—0
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