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Learning Theory

Learning theory

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Showing 151–200 of 852 papers

TitleStatusHype
Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity—0
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes—0
A PAC Approach to Application-Specific Algorithm Selection—0
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network—0
Compression, Generalization and Learning—0
Compressive Learning for Semi-Parametric Models—0
Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models—0
Computable learning of natural hypothesis classes—0
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design—0
Computing the Shattering Coefficient of Supervised Learning Algorithms—0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification—0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification—0
Consistency Analysis for Binary Classification Revisited—0
A Learning Theory in Linear Systems under Compositional Models—0
Constrained Learning with Non-Convex Losses—0
Constructive Large Language Models Alignment with Diverse Feedback—0
Continuity of Generalized Entropy and Statistical Learning—0
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents—0
Barren Plateaus in Variational Quantum Computing—0
Contrasting random and learned features in deep Bayesian linear regression—0
Contrastive Learning as Kernel Approximation—0
Convergence Analysis of Gradient EM for Multi-component Gaussian Mixture—0
Bounding Embeddings of VC Classes into Maximum Classes—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Convergence Rates for Learning Linear Operators from Noisy Data—0
Coordination of Damping Controllers: A Novel Data-Informed Approach for Adaptability—0
Corpus-Based Computation of Reverse Associations—0
Contextual Search in the Presence of Adversarial Corruptions—0
Credal Learning Theory—0
Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents—0
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review—0
A Statistical Learning Theory Framework for Supervised Pattern Discovery—0
A Machine Learning Theory Perspective on Strategic Litigation—0
Data Selection for ERMs—0
Maximum-Likelihood Quantum State Tomography by Soft-Bayes—0
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms—0
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension—0
On the Existence of Simpler Machine Learning Models—0
Borsuk-Ulam and Replicable Learning of Large-Margin Halfspaces—0
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters—0
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning—0
Deep Learning and Continuous Representations for Natural Language Processing—0
A nonasymptotic law of iterated logarithm for general M-estimators—0
Deep learning generalizes because the parameter-function map is biased towards simple functions—0
A Survey of Quantum Learning Theory—0
Deep Learning Optimization Theory - Trajectory Analysis of Gradient Descent—0
A Survey on Optimal Transport for Machine Learning: Theory and Applications—0
Blackwell Online Learning for Markov Decision Processes—0
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