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Learning Theory

Learning theory

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Showing 501–550 of 852 papers

TitleStatusHype
Learning Theory and Algorithms for Revenue Management in Sponsored Search—0
Learning Theory and Support Vector Machines - a primer—0
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks—0
Learning theory estimates with observations from general stationary stochastic processes—0
Learning Theory for Estimation of Animal Motion Submanifolds—0
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems—0
Learning Theory for Kernel Bilevel Optimization—0
Learning Theory of Decentralized Robust Kernel-Based Learning Algorithm—0
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network—0
Learning Theory of Distribution Regression with Neural Networks—0
Learning Theory of Mind via Dynamic Traits Attribution—0
Learning to Abstain From Uninformative Data—0
Learning to Abstain in the Presence of Uninformative Data—0
Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games—0
Learning to erase quantum states: thermodynamic implications of quantum learning theory—0
Learning to Understand: Identifying Interactions via the Möbius Transform—0
Recovering the Lowest Layer of Deep Networks with High Threshold Activations—0
Learning Union of Integer Hypercubes with Queries (Technical Report)—0
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes—0
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels—0
Learning with Average Top-k Loss—0
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning—0
Lecture Notes: Selected topics on robust statistical learning theory—0
Leveraging Over Priors for Boosting Control of Prosthetic Hands—0
Lifting the Veil: Unlocking the Power of Depth in Q-learning—0
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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