Fast Semidifferential-based Submodular Function ... · PDF fileFast Semidifferential-based...

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Fast Algorithms for Submodular Optimization

Maximizing Submodular Function over the Integer Lattice

Submodular Functions in Graph Theory - Peoplepeople.math.gatech.edu/~tetali/LINKS/IWATA/SFGT.pdf · Submodular Functions in Graph Theory . Submodular Functions • Cut Capacity Functions

Linear Programming-based Submodular Extensions for ...

Regret Ratio Minimization in Multi-objective Submodular ......2017/09/04 · Regret Ratio Minimization in Multi-objective Submodular Function Maximization (AAAI 2017) P(S) a 相馬輔(東京大学)

Online Submodular Optimization Problemsniaohe.ise.illinois.edu/IE598/Online submodular... · 2018. 4. 26. · Online Quadratic submodular function minimization Model setting: In each

Submodular Function Maximization · Submodular Function Maximization Andreas Krause ... Several algorithms for submodular optimization described in this survey are implemented ...

Distributed Submodular Maximization · maximizing a submodular set function subject to cardinality or other feasibility constraints such as matroid, or knapsack constraints (Krause

Non-Monotone Submodular Maximization with …Problem Description The problem of maximizing a submodular function under multiple knapsack constraints can be formalized as follows. Problem

Safe Element Screening for Submodular Function Minimization · Safe Element Screening for Submodular Function Minimization Weizhong Zhang 1, Bin Hong2, Lin Ma , Wei Liu , Tong Zhang1

More Submodular stuff - luthuli.cs.uiuc.edu

Minimizing a Submodular Function from Samples

A Max-Sum Diversiﬁcation, Monotone Submodular Functions ...bor/Papers/RD-talg-submit-rev.pdf · quality function is a monotone submodular function; that is (informally), additional

Submodular Function Maximizationdgolovin/papers/submodular_survey12.pdf · Submodular Function Maximization 3 SÕ S2 S1 (a) Adding s0 to set fs 1;s 2g S3 S4 (b) Adding s0 to superset

Dorit S. Hochbaum UC Berkeley LNMB, Jan 2019...``covering" problems with monotone submodular objective function. The approximation algorithm is based on the frequency technique (maximal

Monotone -Submodular Function Maximization with Size ... · Monotone -Submodular Function Maximization with Size Constraints ... 2016/3/23. My research interests: Graph algorithms

Streaming Algorithms for Maximizing Monotone Submodular ...cchuang/work/streaming_knapsack.pdfThe problem of maximizing a monotone submodular function under a knapsack constraint is

Submodular Hamming Metricspapers.nips.cc/paper/5741-submodular-hamming-metrics.pdf · Submodular Hamming Metrics Jennifer Gillenwater y, Rishabh Iyer , Bethany Lusch , Rahul Kidambi

Learning Submodular Functions

Submodular Optimization with Submodular Cover and ... · discrete optimization problems. For example the Submodular Set Cover problem (henceforth SSC) [47] occurs as a special case