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[1] Joseph Naor,et al. A Tight Linear Time (1/2)-Approximation for Unconstrained Submodular Maximization , 2012, 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science.
[2] Ben Taskar,et al. Expectation-Maximization for Learning Determinantal Point Processes , 2014, NIPS.
[3] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[4] Yuichi Yoshida,et al. Non-Monotone DR-Submodular Function Maximization , 2016, AAAI.
[5] Andreas Krause,et al. Guarantees for Greedy Maximization of Non-submodular Functions with Applications , 2017, ICML.
[6] Michael I. Jordan,et al. Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..
[7] Andreas Krause,et al. Submodular Function Maximization , 2014, Tractability.
[8] Andreas Krause,et al. From MAP to Marginals: Variational Inference in Bayesian Submodular Models , 2014, NIPS.
[9] Joachim M. Buhmann,et al. Information-theoretic analysis of MaxCut algorithms , 2016, 2016 Information Theory and Applications Workshop (ITA).
[10] Andreas Krause,et al. Near-optimal Nonmyopic Value of Information in Graphical Models , 2005, UAI.
[11] Amin Karbasi,et al. Online Continuous Submodular Maximization , 2018, AISTATS.
[12] Ben Taskar,et al. Near-Optimal MAP Inference for Determinantal Point Processes , 2012, NIPS.
[13] Jan Vondrák,et al. On Multiplicative Weight Updates for Concave and Submodular Function Maximization , 2015, ITCS.
[14] Stefan Bauer,et al. Model Selection for Gaussian Process Regression , 2017, GCPR.
[15] Britta Peis,et al. Submodular Function Maximization on the Bounded Integer Lattice , 2015, WAOA.
[16] Huy L. Nguyen,et al. A Reduction for Optimizing Lattice Submodular Functions with Diminishing Returns , 2016, ArXiv.
[17] Vahab S. Mirrokni,et al. Maximizing Non-Monotone Submodular Functions , 2011, 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07).
[18] Joachim M. Buhmann,et al. How informative are Minimum Spanning Tree algorithms? , 2014, 2014 IEEE International Symposium on Information Theory.
[19] Stefanie Jegelka,et al. Robust Budget Allocation Via Continuous Submodular Functions , 2017, Applied Mathematics & Optimization.
[20] Hui Lin,et al. Optimal Selection of Limited Vocabulary Speech Corpora , 2011, INTERSPEECH.
[21] Jan Vondrák,et al. Maximizing a Submodular Set Function Subject to a Matroid Constraint (Extended Abstract) , 2007, IPCO.
[22] Hui Lin,et al. A Class of Submodular Functions for Document Summarization , 2011, ACL.
[23] Bryan Wilder,et al. Risk-Sensitive Submodular Optimization , 2018, AAAI.
[24] Tim Roughgarden,et al. Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization , 2018, NeurIPS.
[25] Andreas Krause,et al. Variational Inference in Mixed Probabilistic Submodular Models , 2016, NIPS.
[26] Andreas Krause,et al. Continuous DR-submodular Maximization: Structure and Algorithms , 2017, NIPS 2017.
[27] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[28] Andreas Krause,et al. Submodular Dictionary Selection for Sparse Representation , 2010, ICML.
[29] Joachim M. Buhmann. Information theoretic model validation for clustering , 2010, 2010 IEEE International Symposium on Information Theory.
[30] László Lovász,et al. Submodular functions and convexity , 1982, ISMP.
[31] Rishabh K. Iyer,et al. Submodular Point Processes with Applications to Machine learning , 2015, AISTATS.
[32] Amin Karbasi,et al. Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings , 2018, ICML.
[33] J. Vondrák,et al. Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes , 2014 .
[34] Andreas Krause,et al. Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation , 2016, AISTATS.
[35] Joachim M. Buhmann,et al. Posterior agreement for large parameter-rich optimization problems , 2018, Theor. Comput. Sci..
[36] Ben Taskar,et al. Determinantal Point Processes for Machine Learning , 2012, Found. Trends Mach. Learn..
[37] Jan Vondrák,et al. Optimal approximation for the submodular welfare problem in the value oracle model , 2008, STOC.
[38] Andreas Krause,et al. Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains , 2016, AISTATS.
[39] Andreas Krause,et al. Scalable Variational Inference in Log-supermodular Models , 2015, ICML.
[40] Francis Bach,et al. Submodular functions: from discrete to continuous domains , 2015, Mathematical Programming.