Approximate Supermodularity Bounds for Experimental Design

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Approximate Supermodularity Bounds for Experimental Design

4 November 2017

Luiz F. O. Chamon

Alejandro Ribeiro

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Papers citing "Approximate Supermodularity Bounds for Experimental Design"

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Title
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach Paramita Koley Avirup Saha Sourangshu Bhattacharya Niloy Ganguly A. De 40 2 0 11 Feb 2021
Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: good to know what you don't know A. Alexanderian N. Petra G. Stadler Isaac Sunseri 51 16 0 21 Jun 2020
Performance-Complexity Tradeoffs in Greedy Weak Submodular Maximization with Random Sampling Abolfazl Hashemi H. Vikalo G. Veciana 44 0 0 22 Jul 2019
Bayesian experimental design using regularized determinantal point processes Michal Derezinski Feynman T. Liang Michael W. Mahoney 45 26 0 10 Jun 2019
Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications Christopher Harshaw Moran Feldman Justin Ward Amin Karbasi 71 104 0 19 Apr 2019