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Learning Theory

Learning theory

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Showing 501–525 of 852 papers

TitleStatusHype
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
Providing theoretical learning guarantees to Deep Learning Networks—0
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms—0
q-Learning in Continuous Time—0
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound—0
Quantum advantage for learning shallow neural networks with natural data distributions—0
Quantum Algorithms for the Pathwise Lasso—0
Quantum Geometry insights in Deep Learning—0
Quantum learning algorithms imply circuit lower bounds—0
Quantum Learning Theory Beyond Batch Binary Classification—0
Quantum Machine Learning For Classical Data—0
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance—0
Quantum Maximum Entropy Inference and Hamiltonian Learning—0
Quantum Neural Network Restatement of Markov Jump Process—0
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence—0
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning—0
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms—0
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