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Learning Theory

Learning theory

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Showing 501–550 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
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
Regularization approaches for support vector machines with applications to biomedical data—0
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment—0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability—0
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space—0
Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder—0
Representative Social Choice: From Learning Theory to AI Alignment—0
Research on geometric figure classification algorithm based on Deep Learning—0
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime—0
Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes—0
Resurrecting Socrates in the Age of AI: A Study Protocol for Evaluating a Socratic Tutor to Support Research Question Development in Higher Education—0
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory—0
Revisiting Agnostic PAC Learning—0
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences—0
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture—0
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS—0
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning—0
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