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Learning Theory

Learning theory

Papers

Showing 301350 of 852 papers

TitleStatusHype
Optimal lower bounds for Quantum Learning via Information Theory0
An Entropy-Based Model for Hierarchical Learning0
Bayesian Interpolation with Deep Linear Networks0
Homophily modulates double descent generalization in graph convolution networksCode0
Bagging is an Optimal PAC Learner0
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis0
Triadic Temporal Exponential Random Graph Models (TTERGM)0
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity0
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes0
Õptimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization0
An introduction to computational complexity and statistical learning theory applied to nuclear models0
A Characterization of List Learnability0
Grokking phase transitions in learning local rules with gradient descent0
Is Out-of-Distribution Detection Learnable?0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images0
Just Mix Once: Worst-group Generalization by Group Interpolation0
Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness0
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes0
Do you pay for Privacy in Online learning?0
A Neural Model for Regular Grammar InductionCode0
Stability and Generalization for Markov Chain Stochastic Gradient Methods0
Generalization Properties of NAS under Activation and Skip Connection Search0
Statistical Learning Theory for Control: A Finite Sample Perspective0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning0
A learning theory for quantum photonic processors and beyond0
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information0
Fine-Grained Distribution-Dependent Learning Curves0
Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder0
Generalization In Multi-Objective Machine Learning0
On the non-efficient PAC learnability of conjunctive queries0
On the generalization of learning algorithms that do not converge0
On establishing learning separations between classical and quantum machine learning with classical data0
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning0
Proof-of-Learning is Currently More Broken Than You ThinkCode0
What can we Learn by Predicting Accuracy?0
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs0
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders0
Modeling Non-Cooperative Dialogue: Theoretical and Empirical InsightsCode0
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting0
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing0
q-Learning in Continuous Time0
Multimodal large language models for inclusive collaboration learning tasks0
Understanding Benign Overfitting in Gradient-Based Meta Learning0
Gray Learning from Non-IID Data with Out-of-distribution SamplesCode0
Adversarial Robustness is at Odds with Lazy Training0
Theory of Machine Learning with Limited Data0
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena0
Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs0
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