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Learning Theory

Learning theory

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Showing 101–150 of 852 papers

TitleStatusHype
A Brain-inspired Algorithm for Training Highly Sparse Neural NetworksCode0
Practical methods for graph two-sample testingCode0
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic dataCode0
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNsCode0
Learning from Label Proportions with Instance-wise ConsistencyCode0
Robust Learning from Untrusted SourcesCode0
Estimating the Local Learning Coefficient at ScaleCode0
Scaling Laws for the Value of Individual Data Points in Machine LearningCode0
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical SystemsCode0
Solving PDEs on Unknown Manifolds with Machine LearningCode0
Double descent in quantum machine learningCode0
Deep Learning without Poor Local MinimaCode0
An Analytic Framework for Robust Training of Artificial Neural NetworksCode0
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak FeaturesCode0
Efficient Training for Positive Unlabeled LearningCode0
The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and ImplementationCode0
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approachCode0
Learning ReLU networks to high uniform accuracy is intractableCode0
Foreseeing the Benefits of Incidental SupervisionCode0
Deep Learning is Singular, and That's GoodCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear RegressionCode0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient AlignmentCode0
Improving Energy Conserving Descent for Machine Learning: Theory and PracticeCode0
A Neural Model for Regular Grammar InductionCode0
Deep Learning Theory Review: An Optimal Control and Dynamical Systems PerspectiveCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Data-Driven Performance Guarantees for Classical and Learned OptimizersCode0
A Framework for Machine Learning of Model Error in Dynamical SystemsCode0
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rulesCode0
A Contextual-Bandit Approach to Personalized News Article RecommendationCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent KernelCode0
Comparing Text Representations: A Theory-Driven ApproachCode0
Learning invariant representations of time-homogeneous stochastic dynamical systemsCode0
Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small MoleculesCode0
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)Code0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
On Optimal Interpolation In Linear RegressionCode0
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems—0
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting—0
Benign overfitting in ridge regression—0
Benign Overfitting in Deep Neural Networks under Lazy Training—0
An Entropy-Based Model for Hierarchical Learning—0
A Formal Proof of PAC Learnability for Decision Stumps—0
Bayesian Interpolation with Deep Linear Networks—0
An efficient high-probability algorithm for Linear Bandits—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
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