Algorithms for metric learning via contrastive embeddings

Anastasios (Tasos) Sidiropoulos
University of Illinois at Chicago
May 17, 2019
Data Science in Low-dimensional Spaces
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Dimension Reduction for k-means via Random Projections

Chris Schwiegelshohn
Sapienza University of Rome
May 17, 2019
Data Science in Low-dimensional Spaces
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Pseudodimension for data analysis

Matteo Riondato
Amherst College
May 17, 2019
Data Science in Low-dimensional Spaces
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Partisan Segregation

Ryan Enos
Harvard University
May 16, 2019
Data Science in Low-dimensional Spaces
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Exploring Manifolds of Local Optima via Langevin Dynamics

Ankur Moitra
MIT
May 16, 2019
Data Science in Low-dimensional Spaces
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Approximation Algorithms for Capacitated Facility-Placement and Vehicle-Routing Problems in Transportation Networks

Amariah Becker
Brown University
May 16, 2019
Data Science in Low-dimensional Spaces
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Algorithms for Hard Problems on Low Highway Dimension Graphs

Andreas Feldmann
Charles University
May 16, 2019
Data Science in Low-dimensional Spaces
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On metric embeddings, shortest path decompositions and face cover of planar graphs

Arnold Filtser
Ben-Gurion University
May 15, 2019
Data Science in Low-dimensional Spaces
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Distance oracles for planar graphs

Shay Mozes
Interdisciplinary Center Herzliya
May 15, 2019
Data Science in Low-dimensional Spaces
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