SOURCE-LINKED INTELLIGENCE

Foundations of Generalization

CORDIS · observation · Publication date unknown

tal principles may be a highly ambitious task. On the other hand, given the simplicity of the model, it seems that such an understanding is a prerequisite to any future model that will explain modern Machine Learning algorithms. The second model considers a modern task of synthetic data generation. Synthetic data generation serves as an ideal model to further study the tension between concepts such as generalization and memorization. Here we with a challenge to model the question of generalization, and answer fundamental questions such as: when is synthetic data original and when is it a copy of the empirical data? Stochastic Convex Optimization, Statistical Learning Theory, Theory of Computer Science, Differential Privacy

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award

status

SIGNED

region

EU

value

1419375

unit

EUR