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Learning Theory

Learning theory

Papers

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Showing 751–800 of 852 papers

TitleStatusHype
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solutionCode0
Universal CachingCode0
How Spurious Features Are Memorized: Precise Analysis for Random and NTK FeaturesCode0
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization StrategyCode0
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approachCode0
Geostatistical Learning: Challenges and OpportunitiesCode0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game TheoryCode0
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic ModelsCode0
A Contextual-Bandit Approach to Personalized News Article RecommendationCode0
Gradient Equilibrium in Online Learning: Theory and ApplicationsCode0
Learning in Cooperative Multiagent Systems Using Cognitive and Machine ModelsCode0
Optimization Variance: Exploring Generalization Properties of DNNsCode0
Gray Learning from Non-IID Data with Out-of-distribution SamplesCode0
Learning from Label Proportions with Instance-wise ConsistencyCode0
A Principle of Least Action for the Training of Neural NetworksCode0
Truth or Backpropaganda? An Empirical Investigation of Deep Learning TheoryCode0
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural NetworksCode0
Deep Learning Theory Review: An Optimal Control and Dynamical Systems PerspectiveCode0
Learning Moore Machines from Input-Output TracesCode0
Deep Learning is Singular, and That's GoodCode0
Double descent in quantum machine learningCode0
Data-Driven Performance Guarantees for Classical and Learned OptimizersCode0
A primal-dual data-driven method for computational optical imaging with a photonic lanternCode0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
On Optimal Interpolation In Linear RegressionCode0
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear RegressionCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Robust Learning from Untrusted SourcesCode0
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal InferenceCode0
Solving PDEs on Unknown Manifolds with Machine LearningCode0
SPADE: Sparsity-Guided Debugging for Deep Neural NetworksCode0
Efficient Training for Positive Unlabeled LearningCode0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Robust Optimization using Machine Learning for Uncertainty SetsCode0
Homophily modulates double descent generalization in graph convolution networksCode0
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic dataCode0
Modeling Non-Cooperative Dialogue: Theoretical and Empirical InsightsCode0
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent KernelCode0
Stealing Machine Learning Models via Prediction APIsCode0
On the Diminishing Returns of Width for Continual LearningCode0
MODL: Multilearner Online Deep LearningCode0
Proof-of-Learning is Currently More Broken Than You ThinkCode0
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak FeaturesCode0
Straggler-Resilient Personalized Federated LearningCode0
Improved learning theory for kernel distribution regression with two-stage samplingCode0
Estimating the Local Learning Coefficient at ScaleCode0
Improving Energy Conserving Descent for Machine Learning: Theory and PracticeCode0
Improving Generalization of Deep Networks for Inverse Reconstruction of Image SequencesCode0
Sampling-based Nyström Approximation and Kernel QuadratureCode0
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