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Learning theory

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Showing 751–800 of 852 papers

TitleStatusHype
A Machine Learning Theory Perspective on Strategic Litigation—0
A MapReduce based distributed SVM algorithm for binary classification—0
A Mathematical Theory of Learning—0
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution—0
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity—0
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru—0
An Active Learning Framework for Constructing High-fidelity Mobility Maps—0
An Adaptive Clipping Approach for Proximal Policy Optimization—0
An Algorithm-Centered Approach To Model Streaming Data—0
An Algorithmic Perspective on Imitation Learning—0
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—0
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k—0
An efficient high-probability algorithm for Linear Bandits—0
An Entropy-Based Model for Hierarchical Learning—0
A neural network account to Kant's philosophical aesthetics—0
An induction proof of the backpropagation algorithm in matrix notation—0
An introduction to computational complexity and statistical learning theory applied to nuclear models—0
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis—0
Anomaly detecting and ranking of the cloud computing platform by multi-view learning—0
A nonasymptotic law of iterated logarithm for general M-estimators—0
Maximum-Likelihood Quantum State Tomography by Soft-Bayes—0
An Online Learning Theory of Brokerage—0
An Optimal Elimination Algorithm for Learning a Best Arm—0
An Optimal Transport View on Generalization—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
A Note on the Chernoff Bound for Random Variables in the Unit Interval—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
A PAC Approach to Application-Specific Algorithm Selection—0
Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory—0
Applying statistical learning theory to deep learning—0
Approximability and Generalisation—0
Approximation in L^p(μ) with deep ReLU neural networks—0
A Reinforcement Learning Theory for Homeostatic Regulation—0
Barren Plateaus in Variational Quantum Computing—0
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks—0
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees—0
Optimal Approximations Made Easy—0
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders—0
A Statistical Learning Based System for Fake Website Detection—0
A Statistical Learning Theory Framework for Supervised Pattern Discovery—0
On the Existence of Simpler Machine Learning Models—0
A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models—0
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures—0
A Survey of Quantum Learning Theory—0
A Survey on Optimal Transport for Machine Learning: Theory and Applications—0
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models—0
A Systems Theory of Transfer Learning—0
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior—0
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