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Learning Theory

Learning theory

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Showing 201–250 of 852 papers

TitleStatusHype
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models—0
Deep Neural Nets as Hamiltonians—0
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective—0
A Systems Theory of Transfer Learning—0
Deep Reinforcement Learning and the Deadly Triad—0
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations—0
Depth Separation with Multilayer Mean-Field Networks—0
Depth-Width Trade-offs for Neural Networks via Topological Entropy—0
Design-unbiased statistical learning in survey sampling—0
Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines—0
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation—0
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping—0
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient—0
Dimension-free Information Concentration via Exp-Concavity—0
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate—0
Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms—0
Distributed Kernel Ridge Regression with Communications—0
Distributional property testing in a quantum world—0
Distribution-dependent concentration inequalities for tighter generalization bounds—0
Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation—0
Distribution free M-estimation—0
Do Deeper Convolutional Networks Perform Better?—0
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms—0
Borsuk-Ulam and Replicable Learning of Large-Margin Halfspaces—0
Double-descent curves in neural networks: a new perspective using Gaussian processes—0
A nonasymptotic law of iterated logarithm for general M-estimators—0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
Do you pay for Privacy in Online learning?—0
Dual VC Dimension Obstructs Sample Compression by Embeddings—0
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition—0
Blackwell Online Learning for Markov Decision Processes—0
Effects of quantum resources on the statistical complexity of quantum circuits—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits—0
Efficient Learning of Linear Separators under Bounded Noise—0
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy—0
Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate—0
Generalization within in silico screening—0
Black-box tests for algorithmic stability—0
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction—0
Encoding-dependent generalization bounds for parametrized quantum circuits—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability—0
Anomaly detecting and ranking of the cloud computing platform by multi-view learning—0
Enhancing Pattern Classification in Support Vector Machines through Matrix Formulation—0
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory—0
Error analysis of regularized least-square regression with Fredholm kernel—0
Error Exponent in Agnostic PAC Learning—0
ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System—0
A General Characterization of the Statistical Query Complexity—0
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