literatur.bib

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@InProceedings{Arora2018,
  author    = {Sanjeev Arora and Nadav Cohen and Elad Hazan},
  title     = {On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning {ICML}},
  year      = {2018},
  pages     = {244--253},
}

@InProceedings{Mei2018,
  author    = {Jun Mei and Yong Jiang and Kewei Tu},
  title     = {Maximum {A} Posteriori Inference in Sum-Product Networks},
  booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018},
  year      = {2018},
  editor    = {Sheila A. McIlraith and Kilian Q. Weinberger},
  pages     = {1923--1930},
  publisher = {{AAAI} Press},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/aaai/MeiJT18},
  url       = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16602},
}

@Article{Peharz2018,
  author        = {Robert Peharz and Antonio Vergari and Karl Stelzner and Alejandro Molina and Martin Trapp and Kristian Kersting and Zoubin Ghahramani},
  title         = {Probabilistic Deep Learning using Random Sum-Product Networks},
  journal       = {CoRR},
  year          = {2018},
  volume        = {abs/1806.01910},
  archiveprefix = {arXiv},
  bibsource     = {dblp computer science bibliography, https://dblp.org},
  biburl        = {https://dblp.org/rec/bib/journals/corr/abs-1806-01910},
  eprint        = {1806.01910},
}

@Article{Trapp2018,
  author        = {Martin Trapp and Robert Peharz and Carl E. Rasmussen and Franz Pernkopf},
  title         = {Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks},
  journal       = {CoRR},
  year          = {2018},
  volume        = {abs/1809.04400},
  archiveprefix = {arXiv},
}

@Article{Peharz2017,
  author  = {Robert Peharz and Robert Gens and Franz Pernkopf and Pedro M. Domingos},
  title   = {On the Latent Variable Interpretation in Sum-Product Networks},
  journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
  year    = {2017},
  volume  = {39},
  number  = {10},
  pages   = {2030--2044},
}

@InProceedings{Zhao2017a,
  author    = {Han Zhao and Geoffrey J. Gordon},
  title     = {Linear Time Computation of Moments in Sum-Product Networks},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, {USA}},
  year      = {2017},
  editor    = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
  pages     = {6897--6906},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/nips/ZhaoG17},
  url       = {http://papers.nips.cc/paper/7265-linear-time-computation-of-moments-in-sum-product-networks},
}

@InProceedings{Trapp2017,
  author    = {Martin Trapp and Tamas Madl and Robert Peharz and Franz Pernkopf and Robert Trappl},
  title     = {Safe Semi-Supervised Learning of Sum-Product Networks},
  booktitle = {Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence {UAI}},
  year      = {2017},
}

@Article{Amer2016,
  author    = {Mohamed R. Amer and Sinisa Todorovic},
  title     = {Sum Product Networks for Activity Recognition},
  journal   = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
  year      = {2016},
  volume    = {38},
  number    = {4},
  pages     = {800--813},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/pami/AmerT16},
}

@InProceedings{Zhao2016,
  author    = {Han Zhao and Tameem Adel and Geoffrey J. Gordon and Brandon Amos},
  title     = {Collapsed Variational Inference for Sum-Product Networks},
  booktitle = {Proceedings of the 33nd International Conference on Machine Learning {ICML}},
  year      = {2016},
  pages     = {1310--1318},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/icml/ZhaoAGA16},
}

@InProceedings{Zhao2016a,
  author    = {Han Zhao and Pascal Poupart and Geoffrey J. Gordon},
  title     = {A Unified Approach for Learning the Parameters of Sum-Product Networks},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
  year      = {2016},
  editor    = {Daniel D. Lee and Masashi Sugiyama and Ulrike von Luxburg and Isabelle Guyon and Roman Garnett},
  pages     = {433--441},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/nips/ZhaoPG16},
  url       = {http://papers.nips.cc/paper/6423-a-unified-approach-for-learning-the-parameters-of-sum-product-networks},
}

@Article{Desana2016,
  author        = {Mattia Desana and Christoph Schn{\"{o}}rr},
  title         = {Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models},
  journal       = {CoRR},
  year          = {2016},
  volume        = {abs/1604.07243},
  archiveprefix = {arXiv},
}

@InProceedings{Peharz2015,
  author    = {Robert Peharz and Sebastian Tschiatschek and Franz Pernkopf and Pedro M. Domingos},
  title     = {On Theoretical Properties of Sum-Product Networks},
  booktitle = {Proceedings of the 18th International Conference on Artificial Intelligence and Statistics {AISTATS}},
  year      = {2015},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/aistats/PeharzTPD15},
}

@InProceedings{Dennis2015,
  author    = {Aaron W. Dennis and Dan Ventura},
  title     = {Greedy Structure Search for Sum-Product Networks},
  booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence {IJCAI}},
  year      = {2015},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {932--938},
  publisher = {{AAAI} Press},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/ijcai/DennisV15},
  url       = {http://ijcai.org/Abstract/15/136},
}

@InProceedings{Vergari2015,
  author    = {Antonio Vergari and Nicola Di Mauro and Floriana Esposito},
  title     = {Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning},
  booktitle = {Proceeding of the European Conference on Machine Learning and Knowledge Discovery in Databases {ECML}},
  year      = {2015},
  pages     = {343--358},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/pkdd/VergariME15},
}

@InProceedings{Adel2015,
  author    = {Tameem Adel and David Balduzzi and Ali Ghodsi},
  title     = {Learning the Structure of Sum-Product Networks via an SVD-based Algorithm},
  booktitle = {Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence {UAI}},
  year      = {2015},
  editor    = {Marina Meila and Tom Heskes},
  pages     = {32--41},
  publisher = {{AUAI} Press},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/uai/AdelBG15},
}

@InProceedings{Peharz2014,
  author    = {Robert Peharz and Georg Kapeller and Pejman Mowlaee and Franz Pernkopf},
  title     = {Modeling speech with sum-product networks: Application to bandwidth extension},
  booktitle = {Proceedings of the {IEEE} International Conference on Acoustics, Speech and Signal Processing {ICASSP}},
  year      = {2014},
  pages     = {3699--3703},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/icassp/PeharzKMP14},
}

@InProceedings{Cheng2014,
  author    = {Wei{-}Chen Cheng and Stanley Kok and Hoai Vu Pham and Hai Leong Chieu and Kian Ming Adam Chai},
  title     = {Language modeling with sum-product networks},
  booktitle = {Proceedings of the 15th Annual Conference of the International Speech Communication Association {INTERSPEECH}},
  year      = {2014},
  pages     = {2098--2102},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/interspeech/ChengKPCC14},
}

@InProceedings{Gens2013,
  author    = {Robert Gens and Pedro M. Domingos},
  title     = {Learning the Structure of Sum-Product Networks},
  booktitle = {Proceedings of the 30th International Conference on Machine Learning {ICML}},
  year      = {2013},
  pages     = {873--880},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/icml/GensD13},
}

@InProceedings{Poon2011a,
  author    = {Hoifung Poon and Pedro M. Domingos},
  title     = {Sum-Product Networks: {A} New Deep Architecture},
  booktitle = {Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence {UAI}},
  year      = {2011},
  pages     = {337--346},
}

@InProceedings{Gens2012,
  author    = {Robert Gens and Pedro M. Domingos},
  title     = {Discriminative Learning of Sum-Product Networks},
  booktitle = {Proceedings of the Advances in Neural Information Processing Systems {NIPS}},
  year      = {2012},
  pages     = {3248--3256},
}

@InProceedings{Jaini2018,
  author    = {Priyank Jaini and Pascal Poupart and Yaoliang Yu},
  title     = {Deep Homogeneous Mixture Models: Representation, Separation, and Approximation},
  booktitle = {Proceedings of the Advances in Neural Information Processing Systems {NeurIPS}},
  year      = {2018},
  pages     = {7136--7145},
}

@InProceedings{Pronobis2017,
  author    = {Andrzej Pronobis and Rajesh P. N. Rao},
  title     = {Learning deep generative spatial models for mobile robots},
  booktitle = {Proceedings of the International Conference on Intelligent Robots and Systems {IROS}},
  year      = {2017},
  pages     = {755--762},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/iros/PronobisR17},
}

@InProceedings{Rashwan2016,
  author    = {Abdullah Rashwan and Han Zhao and Pascal Poupart},
  title     = {Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks},
  booktitle = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics {AISTATS}},
  year      = {2016},
  pages     = {1469--1477},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/aistats/RashwanZP16},
}

@Article{Baldi1995,
  author    = {Pierre Baldi and Kurt Hornik},
  title     = {Learning in linear neural networks: a survey},
  journal   = {{IEEE} Trans. Neural Networks},
  year      = {1995},
  volume    = {6},
  number    = {4},
  pages     = {837--858},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/tnn/BaldiH95},
}

@InProceedings{Saxe2014,
  author    = {Andrew M. Saxe and James L. McClelland and Surya Ganguli},
  title     = {Exact solutions to the nonlinear dynamics of learning in deep linear neural networks},
  booktitle = {Proceedings of the 2nd International Conference on Learning Representations {ICLR}},
  year      = {2014},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/corr/SaxeMG13},
}

@Article{Nesterov1983,
  author  = {Yurii E. Nesterov},
  title   = {A method for solving the convex programming problem with convergence rate {O}(1/k\^{}2)},
  journal = {Soviet Mathematics Doklady},
  year    = {1983},
  volume  = {269},
  pages   = {543--547},
}

@Article{Darwiche2003,
  author        = {Adnan Darwiche},
  title         = {A differential approach to inference in Bayesian networks},
  journal       = {Journal of the {ACM}},
  year          = {2003},
  volume        = {50},
  number        = {3},
  pages         = {280--305},
  __markedentry = {[martin:]},
  biburl        = {https://dblp.org/rec/bib/journals/jacm/Darwiche03},
}

@InProceedings{Lowd2010,
  author        = {Daniel Lowd and Jesse Davis},
  title         = {Learning Markov Network Structure with Decision Trees},
  booktitle     = {Proceedings of the 10th International Conference on Data Mining {ICDM}},
  year          = {2010},
  pages         = {334--343},
  __markedentry = {[martin:6]},
  bibsource     = {dblp computer science bibliography, https://dblp.org},
  biburl        = {https://dblp.org/rec/bib/conf/icdm/LowdD10},
}

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