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Learning Theory

Learning theory

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Showing 301–350 of 852 papers

TitleStatusHype
Exponential Hardness of Reinforcement Learning with Linear Function Approximation—0
Generative Models of Huge Objects—0
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning—0
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression—0
Quantum Learning Theory Beyond Batch Binary Classification—0
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy—0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
On the Complexity of Computing Gödel Numbers—0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design—0
Compression, Generalization and Learning—0
Sampling-based Nyström Approximation and Kernel QuadratureCode0
Learning stability of partially observed switched linear systems—0
Stretched and measured neural predictions of complex network dynamics—0
Optimal lower bounds for Quantum Learning via Information Theory—0
An Entropy-Based Model for Hierarchical Learning—0
Bayesian Interpolation with Deep Linear Networks—0
Homophily modulates double descent generalization in graph convolution networksCode0
Bagging is an Optimal PAC Learner—0
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis—0
Triadic Temporal Exponential Random Graph Models (TTERGM)—0
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity—0
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes—0
Õptimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization—0
An introduction to computational complexity and statistical learning theory applied to nuclear models—0
A Characterization of List Learnability—0
Grokking phase transitions in learning local rules with gradient descent—0
Is Out-of-Distribution Detection Learnable?—0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport—0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images—0
Just Mix Once: Worst-group Generalization by Group Interpolation—0
Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes—0
Do you pay for Privacy in Online learning?—0
A Neural Model for Regular Grammar InductionCode0
Stability and Generalization for Markov Chain Stochastic Gradient Methods—0
Generalization Properties of NAS under Activation and Skip Connection Search—0
Statistical Learning Theory for Control: A Finite Sample Perspective—0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
A learning theory for quantum photonic processors and beyond—0
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information—0
Fine-Grained Distribution-Dependent Learning Curves—0
Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder—0
Generalization In Multi-Objective Machine Learning—0
On the non-efficient PAC learnability of conjunctive queries—0
On the generalization of learning algorithms that do not converge—0
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