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Apricot Submodular Selection For Data

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IJCAI 2020 Tutorial Presented by Rishabh Iyer and Ganesh Ramakrishnan. Tutorial Website: ... Machine Learning Work Shop - Session 2 - Jeff Bilmes - 'Why Tal Avgar and Brian Smith presented on Integrated Step- In this video, we explore Bayesian Optimization, which constructs probabilistic models of unknown functions and strategically ... Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters.

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IJCAI 2020 Tutorial Part I: Submodular Optimization for Data, Feature, and Topic Summarization. Wealth
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Rishabh Iyer: Submodular Optimization and Data Summarization with Applications to Computer Vision
Data Selection for Data-Centric AI - Cody Coleman | Stanford MLSys #53
NOT all the things: submodular representative set... - William Noble - MLSCB - ISMB/ECCB 2019
Oral Session: Sampling from Probabilistic Submodular Models
5-1 Submodularity
Machine Learning Work Shop - Why Submodularity is Important to Machine Learning
Statistical Methods Series: Integrated Step-Selection Analysis
Bayesian Optimization
Advanced Algorithms (COMPSCI 224), Lecture 4

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Last Updated: June 9, 2026

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Bayesian Optimization

Bayesian Optimization

In this video, we explore Bayesian Optimization, which constructs probabilistic models of unknown functions and...
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