activity
20152021
most citedEmbeddings of Persistence Diagrams into Hilbert Spaces

35 citations · 52 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2021★ 1 cited

Improving Metric Dimensionality Reduction with Distributed Topology

Alexander Wagner, Elchanan Solomon, Paul Bendich

We propose a novel approach to dimensionality reduction combining techniques of metric geometry and distributed persistent homology, in the form of a gradient-descent based method…

math.AT2021

From Geometry to Topology: Inverse Theorems for Distributed Persistence

Elchanan Solomon, Alexander Wagner, Paul Bendich

What is the "right" topological invariant of a large point cloud X? Prior research has focused on estimating the full persistence diagram of X, a quantity that is very expensive to…

stat.ML2020★ 2 cited

A Fast and Robust Method for Global Topological Functional Optimization

Elchanan Solomon, Alexander Wagner, Paul Bendich

Topological statistics, in the form of persistence diagrams, are a class of shape descriptors that capture global structural information in data. The mapping from data structures t…

q-fin.RM2019

Portfolio Optimization with Expectile and Omega Functions

Alexander Wagner, Stan Uryasev

This paper proves equivalences of portfolio optimization problems with negative expectile and omega ratio. We derive subgradients for the negative expectile as a function of the po…

math.FA2019★ 1 cited

Nonembeddability of Persistence Diagrams with Wasserstein Metric

Alexander Wagner

Persistence diagrams do not admit an inner product structure compatible with any Wasserstein metric. Hence, when applying kernel methods to persistence diagrams, the underlying fea…

cs.LG2019★ 35 cited

Embeddings of Persistence Diagrams into Hilbert Spaces

Peter Bubenik, Alexander Wagner

Since persistence diagrams do not admit an inner product structure, a map into a Hilbert space is needed in order to use kernel methods. It is natural to ask if such maps necessari…