Kronecker Determinantal Point Processes
暂无分享,去创建一个
[1] Suvrit Sra,et al. Fixed-point algorithms for learning determinantal point processes , 2015, ICML.
[2] C. Loan,et al. Approximation with Kronecker Products , 1992 .
[3] Alexander J. Smola,et al. Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods , 2015, ICML.
[4] Shih-Fu Chang,et al. Fast Orthogonal Projection Based on Kronecker Product , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Ashwin Arulselvan,et al. A note on the set union knapsack problem , 2014, Discret. Appl. Math..
[6] Y. Peres,et al. Determinantal Processes and Independence , 2005, math/0503110.
[7] Byungkon Kang,et al. Fast Determinantal Point Process Sampling with Application to Clustering , 2013, NIPS.
[8] Edward Y. Chang,et al. Kronecker Factorization for Speeding up Kernel Machines , 2005, SDM.
[9] J. Møller,et al. Determinantal point process models and statistical inference , 2012, 1205.4818.
[10] Ben Taskar,et al. Learning the Parameters of Determinantal Point Process Kernels , 2014, ICML.
[11] Roger B. Grosse,et al. Optimizing Neural Networks with Kronecker-factored Approximate Curvature , 2015, ICML.
[12] R. Bhatia. Positive Definite Matrices , 2007 .
[13] Alan L. Yuille,et al. The Concave-Convex Procedure (CCCP) , 2001, NIPS.
[14] Ulrich Paquet,et al. Low-Rank Factorization of Determinantal Point Processes , 2016, AAAI.
[15] Alex Kulesza,et al. Diversifying Sparsity Using Variational Determinantal Point Processes , 2014, ArXiv.
[16] Hui Lin,et al. Learning Mixtures of Submodular Shells with Application to Document Summarization , 2012, UAI.
[17] Suvrit Sra,et al. Efficient Sampling for k-Determinantal Point Processes , 2015, AISTATS.
[18] Ben Taskar,et al. Expectation-Maximization for Learning Determinantal Point Processes , 2014, NIPS.
[19] Ben Taskar,et al. Determinantal Point Processes for Machine Learning , 2012, Found. Trends Mach. Learn..
[20] Nicolas Privault,et al. Determinantal Point Processes , 2016 .
[21] O. Macchi. The coincidence approach to stochastic point processes , 1975, Advances in Applied Probability.
[22] R. Lyons. Determinantal probability measures , 2002, math/0204325.
[23] Ben Taskar,et al. k-DPPs: Fixed-Size Determinantal Point Processes , 2011, ICML.
[24] Kristen Grauman,et al. Large-Margin Determinantal Point Processes , 2014, UAI.
[25] Ben Taskar,et al. Learning Determinantal Point Processes , 2011, UAI.
[26] Yi-Cheng Zhang,et al. Solving the apparent diversity-accuracy dilemma of recommender systems , 2008, Proceedings of the National Academy of Sciences.
[27] Suvrit Sra,et al. Diversity Networks , 2015, ICLR.
[28] Andreas Krause,et al. Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies , 2008, J. Mach. Learn. Res..
[29] Suvrit Sra,et al. Fast DPP Sampling for Nystrom with Application to Kernel Methods , 2016, ICML.