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Probabilistic Modeling

2591 directly classified papers

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Papers

Metadata Dependent Mondrian Processes ICML 2015
Finding Galaxies in the Shadows of Quasars with Gaussian Processes ICML 2015
Safe Exploration for Optimization with Gaussian Processes ICML 2015
Lifted Inference Rules With Constraints NIPS 2015
Harmonic Exponential Families on Manifolds ICML 2015
A Multitask Point Process Predictive Model ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015
Scalable Variational Inference in Log-supermodular Models ICML 2015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades ICML 2015
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015
Markov Mixed Membership Models ICML 2015
MCMC for Variationally Sparse Gaussian Processes NIPS 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions NIPS 2015
Graphical Models via Univariate Exponential Family Distributions JMLR 2015
The Libra Toolkit for Probabilistic Models JMLR 2015
Discrete Restricted Boltzmann Machines JMLR 2015
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015
Pushing Forward Marginal MAP with Best-First Search IJCAI 2015
Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015
Picture: A Probabilistic Programming Language for Scene Perception CVPR 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
The Human Kernel NIPS 2015
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NIPS 2015