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Learning Theory

Learning theory

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Showing 626–650 of 852 papers

TitleStatusHype
Optimization for deep learning: theory and algorithms—0
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers—0
Outlier-Robust Linear System Identification Under Heavy-tailed Noise—0
PAC Learning is just Bipartite Matching (Sort of)—0
PAC Synthesis of Machine Learning Programs—0
Parameter Symmetry Potentially Unifies Deep Learning Theory—0
Parametric Prediction from Parametric Agents—0
Partial differential equation regularization for supervised machine learning—0
Passive Learning with Target Risk—0
Path classification by stochastic linear recurrent neural networks—0
Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning—0
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation—0
Piecewise Strong Convexity of Neural Networks—0
Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics—0
Potential-Based Agnostic Boosting—0
Practical machine learning is learning on small samples—0
Preparing for Black Swans: The Antifragility Imperative for Machine Learning—0
Present and Future of AI in Renewable Energy Domain : A Comprehensive Survey—0
Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching—0
Primal and Dual Combinatorial Dimensions—0
Private learning implies quantum stability—0
Programs as Singularities—0
Properly Learning Decision Trees with Queries Is NP-Hard—0
Provable Hierarchy-Based Meta-Reinforcement Learning—0
Provably efficient, succinct, and precise explanations—0
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