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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Adversarial Resilience in Sequential Prediction via Abstention
Neural Information Processing Systems
In particular, we consider sequential prediction with an adversary that injects adversarial (or out-of-distribution) examples in a stream of i.i.d.
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Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Neural Information Processing Systems
The study of online algorithms with machine-learned predictions has gained considerable prominence in recent years.
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Cryptographic Hardness of Learning Halfspaces with Massart Noise
Neural Information Processing Systems
In this problem, we are given i.i.d.
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