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Learning Theory

Learning theory

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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
Domain Generalization via Multidomain Discriminant Analysis—0
A nonasymptotic law of iterated logarithm for general M-estimators—0
Blackwell Online Learning for Markov Decision Processes—0
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