High-Dimensional Optimization and Probability: With a View Towards Data Science
102,00 €
Recent Theoretical Advances in Non-Convex Optimization (Gasnikov). - Higher Order Embeddings for the Composition of the Harmonic Projection and Homotopy Operators (Ding). - A statistical learning theory approach for the analysis of the trade-off between sample size and precision in truncated ordinary least squares (Raciti).
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