Parameter learning for log-supermodular distributions
T Shpakova, F Bach - Advances in Neural Information …, 2016 - proceedings.neurips.cc
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
[PDF][PDF] Parameter Learning for Log-supermodular Distributions
T Shpakova, IÉNS Paris, F Bach - papers.neurips.cc
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
[PDF][PDF] Parameter Learning for Log-supermodular Distributions
T Shpakova, IÉNS Paris, F Bach - Citeseer
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
Parameter Learning for Log-supermodular Distributions
T Shpakova, F Bach - arXiv preprint arXiv:1608.05258, 2016 - arxiv.org
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
Parameter Learning for Log-supermodular Distributions
T Shpakova, F Bach - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
Parameter Learning for Log-supermodular Distributions
T Shpakova, F Bach - NIPS 2016-Thirtieth Annual Conference on …, 2016 - hal.science
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
Parameter Learning for Log-supermodular Distributions
T Shpakova, F Bach - Advances in Neural Information …, 2016 - proceedings.neurips.cc
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
Parameter learning for log-supermodular distributions
T Shpakova, F Bach - Proceedings of the 30th International Conference …, 2016 - dl.acm.org
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
[PDF][PDF] Parameter Learning for Log-supermodular Distributions
T Shpakova, F Bach - spars2017.lx.it.pt
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
Parameter Learning for Log-supermodular Distributions
T Shpakova, F Bach - NIPS 2016-Thirtieth Annual Conference on …, 2016 - inria.hal.science
We consider log-supermodular models on binary variables, which are probabilistic models
with negative log-densities which are submodular. These models provide probabilistic …
with negative log-densities which are submodular. These models provide probabilistic …
