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Learning Theory

Learning theory

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Showing 526–550 of 852 papers

TitleStatusHype
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Limitation of Characterizing Implicit Regularization by Data-independent Functions—0
Local and Global Uniform Convexity Conditions—0
Localized Complexities for Transductive Learning—0
Localized Structured Prediction—0
Lotka-Volterra Model with Mutations and Generative Adversarial Networks—0
Lower Bounds for Greedy Teaching Set Constructions—0
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians—0
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization—0
Machine Intelligence at the Edge with Learning Centric Power Allocation—0
Theory of Machine Learning with Limited Data—0
Machine Learning of coarse-grained Molecular Dynamics Force Fields—0
Machine Learning with Guarantees using Descriptive Complexity and SMT Solvers—0
Majority-of-Three: The Simplest Optimal Learner?—0
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding—0
Margin theory for the scenario-based approach to robust optimization in high dimension—0
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders—0
Mathematical theory of deep learning—0
Max-Diversity Distributed Learning: Theory and Algorithms—0
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds—0
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks—0
Mesarovician Abstract Learning Systems—0
Minimal Sample Subspace Learning: Theory and Algorithms—0
Minimax Rates for High-Dimensional Random Tessellation Forests—0
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift—0
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