On the computational content of convergence proofs via Banach limits U. Kohlenbach1∗, L. Leu¸stean2 1 Department of Mathematics, Technische Universit¨

Source URL: www.mathematik.tu-darmstadt.de

• Mathematics
• Mathematical analysis
• Topology
• Banach spaces
• Convex analysis
• Calculus
• Modulus and characteristic of convexity
• Continuous function
• Banach fixed-point theorem
• Uniformly smooth space
• Metric space
• Open set

Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods arXiv:1506.08473v3 [cs.LG] 12 JanMajid Janzamin∗

Source URL: www-scf.usc.edu

EQUIVALENCE RESULTS FOR OPTIMAL PASS-THROUGH, OPTIMAL INDEXING TO EXCHANGE RATES, AND OPTIMAL CHOICE OF CURRENCY FOR EXPORT PRICING Charles Engel University of Wisconsin

Source URL: www.ssc.wisc.edu

• Economics
• Economy
• Market structure
• Consumer theory
• Demand
• Mathematical finance
• Nominal rigidity
• Convexity
• Elasticity
• Economic equilibrium

Bo Dai, Niao He, Hanjun Dai, Le Song Appendix A Strong convexity

Source URL: jmlr.org

Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings Ian E.H. Yen

Source URL: www.cs.utexas.edu

AdaBoost and other Large Margin Classifiers: Convexity in Pattern Classification Peter Bartlett Department of Statistics and Division of Computer Science UC Berkeley

Source URL: www.stat.berkeley.edu

• Table of stars with Bayer designations
• Symbol

THE INVERSE PROBLEM FOR THE LOCAL GEODESIC RAY TRANSFORM ´ VASY GUNTHER UHLMANN AND ANDRAS Abstract. Under a convexity assumption on the boundary we solve a local inverse problem, namely we show that the geodesic X-ray

Source URL: www.math.washington.edu

Department of Biomathematics Seminar Series: Frontiers in Systems and Integrative Biology Neural Codes, Place Fields, and Convexity Nora Youngs, Ph.D.

Source URL: www.biomath.ucla.edu

• Nervous system
• Neuroscience
• Neural networks
• Computational neuroscience
• Sensory systems
• Receptive field
• Neural coding
• Neuron

Combinatorics and Convexity Gil Kalai, Hebrew University, Jerusalem Connections between Euclidean convex geometry and combinatorics go back to Euler, Cauchy, Minkowski and Steinitz. The theory was advanced greatly since

Source URL: www.ma.huji.ac.il

Bo’az Klartag Regularity through convexity in high dimensions The course should be accessible to graduate students and researchers interested in interactions between Analysis, Geometry and Probability. The topics to be

Source URL: wiki-math.univ-mlv.fr