Birs- 18w5172: Numerical Analysis and Approximation Theory meets Data Science
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Title: Data and Models
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Title: Sparse High-dimensional Approximation from Highly Noisy Data
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Title: Neural Networks Motivated by Partial Differential Equations
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Title: Nonconvex Approaches in Data Science
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Title: Unified Null Space Conditions for Sparse Approximations via Nonconvex Minimizations
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Title: On Dual Certificates for the Compressive Off-the-Grid Recovery Problem
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Title: Asymptotics of Objective Functionals in Semi-Supervised Learning
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Title: Manifold Learning by Sparse Grid Methods
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Title: The Multivariate Decomposition Method
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Title: Greedy Approximation Selection with Data Assimilation
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Title: Learning Regularisers for Imaging Inverse Problems: From Quotient Minimisation to Adversarial Neural Networks
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Title: Topological Dimensionality Reduction
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Title: Sparse Recovery Guarantees for Dependent Data
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Title: A Game Theoretic Approach to Numerical Approximation and Algorithm Design
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Title: Joint Sparse Recovery Through Manifold Optimization
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