conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Probabilistic Modeling

2,599 papers

Papers per year

1
8
78
87
232
84
'00
'05
'10
'15
'20
'25

Papers

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models ICML 2015
Message Passing for Collective Graphical Models ICML 2015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades ICML 2015
Safe Exploration for Optimization with Gaussian Processes ICML 2015
Finding Galaxies in the Shadows of Quasars with Gaussian Processes ICML 2015
Reified Context Models ICML 2015
Swept Approximate Message Passing for Sparse Estimation ICML 2015
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
Metadata Dependent Mondrian Processes ICML 2015
Controversy in mechanistic modelling with Gaussian processes ICML 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
Harmonic Exponential Families on Manifolds ICML 2015
Scalable Variational Inference in Log-supermodular Models ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015
Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015
A Multitask Point Process Predictive Model ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015
Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015
Pushing Forward Marginal MAP with Best-First Search IJCAI 2015
Discrete Restricted Boltzmann Machines JMLR 2015
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015
The Libra Toolkit for Probabilistic Models JMLR 2015
Graphical Models via Univariate Exponential Family Distributions JMLR 2015