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Controlling Unknown Linear Dynamics with Bounded Multiplicative Regret
We consider a simple control problem in which the underlying dynamics depend on a parameter that is unknown and must be learned. We …
J. Carruth, M. F. Eggl, C. Fefferman, C. W. Rowley, M. Weber
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Riemannian Optimization via Frank-Wolfe Methods
We study projection-free methods for constrained Riemannian optimization. In particular, we propose a Riemannian Frank-Wolfe (RFW) …
M. Weber, S. Sra
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Projection-free nonconvex stochastic optimization on Riemannian manifolds
We study stochastic projection-free methods for constrained optimization of smooth functions on Riemannian manifolds, i.e., with …
M. Weber, S. Sra
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Optimal control with learning on the fly
We exhibit optimal control strategies for a simple toy problem in which the underlying dynamics depend on a parameter that is initially …
C. Fefferman, B. Guillen Pegueroles, C. W. Rowley, M. Weber
Preprint PDF Project
Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0
To date, most studies involving high-throughput analyses of sputum in asthma and COPD have focused on identifying transcriptomic …
E. E. Groth, M. Weber, T. Bahmer, F. Pedersen, A. Kirsten, D. Börnigen, K. F. Rabe, H. Watz, O. Ammerpohl, T. Goldmann
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Coarse Geometry of Evolving Networks
Traditionally, network analysis is based on local properties of vertices, like their degree or clustering, and their statistical …
M. Weber, E. Saucan, J. Jost
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Discrete Curvatures and Network Analysis
We describe an approach to the analysis of chemical (and other) networks that, in contrast to other schemes, is based on edges rather …
E. Saucan, A. Samal, M. Weber, J. Jost
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Characterizing complex networks with Forman-Ricci curvature and associated geometric flows
We introduce Forman-Ricci curvature and its corresponding flow as characteristics for complex networks attempting to extend the common …
M. Weber, E. Saucan, J. Jost
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Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model
Neurodegenerative diseases and traumatic brain injuries (TBI) are among the main causes of cognitive dysfunction in humans. At a …
M. Weber, P. M. Maia, J. N. Kutz
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EGAD: Ultra-fast Functional Analysis of Gene Networks
Evaluating gene networks with respect to known biology is a common task but often a computationally costly one. Many computational …
S. Ballouz *, M. Weber, P. Pavlidis, J. Gillis
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