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Stochastic optimization in high dimension
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New Lagrangian methods for constrained convex programs and their applications
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Novel optimization tools for structured signals recovery: channels estimation and compressible signal recovery
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Tensor learning for large-scale spatiotemporal analysis
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High-dimensional magnetic resonance imaging of microstructure
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