partition function

Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016 Uprooting and Rerooting Graphical Models ICML 2016 Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015 Higher-Order Inference for Multi-Class Log-Supermodular Models ICCV 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Submodular Point Processes with Applications to Machine learning AISTATS 2015 Clamping Variables and Approximate Inference NeurIPS 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 Putting MRFs on a Tensor Train ICML 2014 Sequential Monte Carlo for Graphical Models NeurIPS 2014 Annealing between distributions by averaging moments NeurIPS 2013 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013 Complexity of Bethe Approximation AISTATS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Randomized Optimum Models for Structured Prediction AISTATS 2012