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Learning Theory

Learning theory

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Showing 651–675 of 852 papers

TitleStatusHype
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
Realizable Learning is All You Need—0
Realization of spatial sparseness by deep ReLU nets with massive data—0
Reasoning with random sets: An agenda for the future—0
Recent advances in deep learning theory—0
Recursion, evolution and conscious self—0
Redefining Fitness: Evolution as a Dynamic Learning Process—0
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets—0
Regret-Optimal LQR Control—0
Regularised Least-Squares Regression with Infinite-Dimensional Output Space—0
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