Provable variational inference for constrained log-submodular models
© 2018 Curran Associates Inc.All rights reserved. Submodular maximization problems appear in several areas of machine learning and data science, as many useful modelling concepts such as diversity and coverage satisfy this natural diminishing returns property. Because the data defining these functio...
Main Authors: | Djolonga, J, Jegelka, S, Krause, A |
---|---|
Format: | Article |
Language: | English |
Published: |
2021
|
Online Access: | https://hdl.handle.net/1721.1/132303 |
Similar Items
-
Provable variational inference for constrained log-submodular models
by: Djolonga, Josip, et al.
Published: (2022) -
Provable Algorithms for Learning and Variational Inference in Undirected Graphical Models
by: Koehler, Frederic
Published: (2022) -
Provable algorithms for inference in topic models
by: Arora, Sanjeev, et al.
Published: (2018) -
Distributionally robust submodular maximization
by: Staib, Matthew, et al.
Published: (2021) -
Sensor Array Design Through Submodular Optimization
by: Shulkind, Gal, et al.
Published: (2021)