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Learning Theory

Learning theory

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Showing 51–75 of 852 papers

TitleStatusHype
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
Adversarial Robustness is at Odds with Lazy Training—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
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation—0
An efficient high-probability algorithm for Linear Bandits—0
An Entropy-Based Model for Hierarchical Learning—0
A Formal Proof of PAC Learnability for Decision Stumps—0
Approximability and Generalisation—0
A MapReduce based distributed SVM algorithm for binary classification—0
A Machine Learning Theory Perspective on Strategic Litigation—0
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms—0
A Linear Theory of Multi-Winner Voting—0
Algorithmic statistics, prediction and machine learning—0
Adaptive Parameter Selection for Kernel Ridge Regression—0
A Characterization of Multiclass Learnability—0
Algorithmic Stability and Uniform Generalization—0
Algorithmic learning of probability distributions from random data in the limit—0
A Characterization of List Learnability—0
A Learning Theory in Linear Systems under Compositional Models—0
A learning theory for quantum photonic processors and beyond—0
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