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Learning Theory

Learning theory

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Showing 101–125 of 852 papers

TitleStatusHype
NGD converges to less degenerate solutions than SGDCode0
Fairness, Accuracy, and Unreliable Data—0
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning—0
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits—0
Transformers are Minimax Optimal Nonparametric In-Context Learners—0
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)Code0
Graph Classification via Reference Distribution Learning: Theory and Practice—0
Revisiting Agnostic PAC Learning—0
Mathematical theory of deep learning—0
Which distribution were you sampled from? Towards a more tangible conception of data—0
Computable learning of natural hypothesis classes—0
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime—0
Learning Confidence Bounds for Classification with Imbalanced DataCode0
Quantum Maximum Entropy Inference and Hamiltonian Learning—0
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms—0
10 Years of Fair Representations: Challenges and Opportunities—0
Foundations and Frontiers of Graph Learning Theory—0
Present and Future of AI in Renewable Energy Domain : A Comprehensive Survey—0
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms—0
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations—0
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability—0
Improving Noise Robustness through Abstractions and its Impact on Machine Learning—0
Probability Distribution Learning and Its Application in Deep Learning—0
CMAR-Net: Accurate Cross-Modal 3D SAR Reconstruction of Vehicle Targets with Sparse-Aspect Multi-Baseline Data—0
On the Limitations of Fractal Dimension as a Measure of GeneralizationCode0
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