Probabilistic Modeling
3,137 papers
Papers per year
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Papers
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
AAAI 2020
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment
CVPR 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
AISTATS 2020
Undirected Graphical Models as Approximate Posteriors
ICML 2020
Variable Skipping for Autoregressive Range Density Estimation
ICML 2020
Variance Reduction in Stochastic Particle-Optimization Sampling
ICML 2020
Variational Amodal Object Completion
NeurIPS 2020
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities
ICLR 2020
Variational Autoencoders for Sparse and Overdispersed Discrete Data
AISTATS 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation
ICML 2020
Wasserstein Control of Mirror Langevin Monte Carlo
COLT 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
NeurIPS 2020
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes
JMLR 2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract)
IJCAI 2020
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
AISTATS 2019
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation
COLT 2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
AISTATS 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning
NeurIPS 2019
Aligning Vector-spaces with Noisy Supervised Lexicon
NAACL 2019
Amortized Bethe Free Energy Minimization for Learning MRFs
NeurIPS 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes
NeurIPS 2019
Analyzing Inverse Problems with Invertible Neural Networks
ICLR 2019
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph
IJCAI 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment
NeurIPS 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP
AAAI 2019