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June 16,Fast and private submodular and k-submodular functions maximization with matroid constraints
Interactive Learning of Mixtures of Submodular Functions
Xueyu Shi - Sequence Independent Lifting for Submodular Maximization
MIT 6.854 Spring 2016 Lecture 13: Submodular Functions
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
Submodularity and Optimization -- Jeff Bilmes (Part 1)
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
Alina Ene: The Power of Randomization Distributed Submodular Maximization on Massive Datasets
Machine Learning Work Shop - Why Submodularity is Important to Machine Learning
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Last Updated: October 2, 2026
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A. Badanidiyuru, A. Karbasi, E. Kazemi, and J. Vondrak. This is the first lecture in the series on Stefanie Jegelka, MIT simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ... Speaker: Gözde Özcan, Northeastern University Title: This is a recorded video for the Summer 2021 discrete math seminar at Simon Fraser University. Akbar Rafiey from Simon Fraser ... Jeff Bilmes, University of Washington simons.berkeley.edu/talks/jeff-bilmes-02-17-2017 Interactive Learning. Presented at the IPCO Conference 2020 held at the London School of Economics and Political Science via Zoom Full title: ... A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri. Adam Breuer Harvard Gov Primer: A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, ... Machine Learning Work Shop - Session 2 - Jeff Bilmes - 'Why
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