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Learning Theory

Learning theory

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Showing 651–675 of 852 papers

TitleStatusHype
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
Towards a Formal Creativity Theory: Preliminary results in Novelty and Transformativeness—0
Towards a Learning Theory of Representation Alignment—0
Towards an Understanding of Benign Overfitting in Neural Networks—0
Towards a theory of out-of-distribution learning—0
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks—0
Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems—0
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory—0
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework—0
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—0
Logic of Machine Learning—0
Transformers are Minimax Optimal Nonparametric In-Context Learners—0
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness—0
Triadic Temporal Exponential Random Graph Models (TTERGM)—0
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient—0
LSTSVR-PI: Least square twin support vector regression with privileged information—0
Two-stage Sampled Learning Theory on Distributions—0
Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees—0
Uncertainty Estimation in Machine Learning—0
Under-bagging Nearest Neighbors for Imbalanced Classification—0
Understanding Benign Overfitting in Gradient-Based Meta Learning—0
Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
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