submodular function

Sampling from Probabilistic Submodular Models NeurIPS 2015 Smooth Interactive Submodular Set Cover NeurIPS 2015 Submodular Hamming Metrics NeurIPS 2015 From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 Learning Coverage Functions and Private Release of Marginals COLT 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Multi Label Generic Cuts: Optimal Inference in Multi Label Multi Clique MRF-MAP Problems CVPR 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NeurIPS 2013 Potts Model, Parametric Maxflow and K-Submodular Functions ICCV 2013 Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees COLT 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 2013 Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NeurIPS 2013 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 Learning Fourier Sparse Set Functions AISTATS 2012 Near-Optimal MAP Inference for Determinantal Point Processes NeurIPS 2012 Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012 On fast approximate submodular minimization NeurIPS 2011 Prismatic Algorithm for Discrete D.C. Programming Problem NeurIPS 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Efficient Minimization of Decomposable Submodular Functions NeurIPS 2010 Minimum Average Cost Clustering NeurIPS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010