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Learning Theory

Learning theory

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Showing 101–125 of 852 papers

TitleStatusHype
A Systems Theory of Transfer Learning—0
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior—0
A Theory of Formal Synthesis via Inductive Learning—0
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains—0
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity—0
A Tight Lower Bound for Uniformly Stable Algorithms—0
An Algorithm-Centered Approach To Model Streaming Data—0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation—0
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate—0
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds—0
A unified framework of non-local parametric methods for image denoising—0
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles—0
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds—0
Bagging is an Optimal PAC Learner—0
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization—0
Generalization within in silico screening—0
A PAC Approach to Application-Specific Algorithm Selection—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
An efficient high-probability algorithm for Linear Bandits—0
Bayesian Interpolation with Deep Linear Networks—0
Benign Overfitting in Deep Neural Networks under Lazy Training—0
Benign overfitting in ridge regression—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
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