Pages that link to "Item:Q3580906"

The following pages link to Graphical Models, Exponential Families, and Variational Inference (Q3580906):

Displaying 50 items.

• On generalization in moment-based domain adaptation (Q2035637) (← links)
• New closed-form bounds on the partition function (Q2036261) (← links)
• Syntactic stochastic processes: definitions, models, and related inference problems (Q2051758) (← links)
• Discriminator feature-based inference by recycling the discriminator of GANs (Q2056085) (← links)
• MAP inference via \(\ell_2\)-sphere linear program reformulation (Q2056127) (← links)
• Particle-based energetic variational inference (Q2058750) (← links)
• Updating variational Bayes: fast sequential posterior inference (Q2066743) (← links)
• The recursive variational Gaussian approximation (R-VGA) (Q2066753) (← links)
• Learning hidden Markov models from aggregate observations (Q2071943) (← links)
• Analysis of generalized Bregman surrogate algorithms for nonsmooth nonconvex statistical learning (Q2073715) (← links)
• A Bayesian hierarchical score for structure learning from related data sets (Q2076986) (← links)
• A Bayesian nonparametric approach to super-resolution single-molecule localization (Q2078289) (← links)
• Mapping interstellar dust with Gaussian processes (Q2080783) (← links)
• Contention resolution, matrix scaling and fair allocation (Q2085755) (← links)
• A variational inference for the Lévy adaptive regression with multiple kernels (Q2095764) (← links)
• Affine-mapping based variational ensemble Kalman filter (Q2103971) (← links)
• Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration (Q2110192) (← links)
• Renewal model for dependent binary sequences (Q2116523) (← links)
• New limits of treewidth-based tractability in optimization (Q2118087) (← links)
• Mirrored conditional random field model for object recognition in indoor environments (Q2126247) (← links)
• Factor graph fragmentization of expectation propagation (Q2131932) (← links)
• Variational Bayesian approximation of inverse problems using sparse precision matrices (Q2138759) (← links)
• Stochastic representation of FGM copulas using multivariate Bernoulli random variables (Q2143027) (← links)
• Statistical physics and representations in real and artificial neural networks (Q2149414) (← links)
• Bayesian inference of clustering and multiple Gaussian graphical models selection (Q2151591) (← links)
• Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage (Q2154185) (← links)
• Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models (Q2162034) (← links)
• Probabilistic programming with stochastic variational message passing (Q2169202) (← links)
• Structured hierarchical models for probabilistic inference from perturbation screening data (Q2170453) (← links)
• The computational asymptotics of Gaussian variational inference and the Laplace approximation (Q2172111) (← links)
• SHOPPER: a probabilistic model of consumer choice with substitutes and complements (Q2179937) (← links)
• A stochastic variational framework for recurrent Gaussian processes models (Q2188216) (← links)
• Joint estimation of heterogeneous exponential Markov random fields through an approximate likelihood inference (Q2189113) (← links)
• Iterative multiplicative filters for data labeling (Q2193779) (← links)
• Torus graphs for multivariate phase coupling analysis (Q2194454) (← links)
• A global-local approach for detecting hotspots in multiple-response regression (Q2194477) (← links)
• Uniform joint screening for ultra-high dimensional graphical models (Q2196128) (← links)
• Learning a tree-structured Ising model in order to make predictions (Q2196190) (← links)
• \(\alpha\)-variational inference with statistical guarantees (Q2196198) (← links)
• Mean field dynamics of stochastic cellular automata for random and small-world graphs (Q2197113) (← links)
• Theoretical and computational guarantees of mean field variational inference for community detection (Q2215750) (← links)
• Causality and Bayesian network PDEs for multiscale representations of porous media (Q2222317) (← links)
• Data-driven, variational model reduction of high-dimensional reaction networks (Q2222683) (← links)
• Mixed membership stochastic blockmodels for heterogeneous networks (Q2226704) (← links)
• TAP free energy, spin glasses and variational inference (Q2227708) (← links)
• Inference on extremal dependence in the domain of attraction of a structured Hüsler-Reiss distribution motivated by a Markov tree with latent variables (Q2231309) (← links)
• Correctness of sequential Monte Carlo inference for probabilistic programming languages (Q2233471) (← links)
• On the truncated Hausdorff moment problem under Sobolev regularity conditions (Q2242683) (← links)
• Simultaneous inference of periods and period-luminosity relations for Mira variable stars (Q2245144) (← links)
• The IBMAP approach for Markov network structure learning (Q2254625) (← links)