Computational Learning Theory
In computer science, computational learning theory (or just learning theory) is a subfield of Artificial Intelligence devoted to studying the design and analysis of machine learning algorithms (Wikipedia)
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Smoothed Online Classification can be Harder than Batch Classification
Neural Information Processing Systems
We study online classification under smoothed adversaries.
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The Limits of Differential Privacy in Online Learning
Neural Information Processing Systems
However, privacy is not a free lunch and usually comes at a cost.
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Improved Sample Complexity for Multiclass PAC Learning
Neural Information Processing Systems
We aim to understand the optimal P AC sample complexity in multiclass learning.
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Credal Learning Theory
Neural Information Processing Systems
Statistical learning theory is the foundation of machine learning, providing theoretical bounds for the risk of models learned from a (single) training set, assumed to issue from an unknown probability distribution.
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