Causal Inference (1) Efficient ML (4) Energy-Based Models (1) Graph Data (6) Hierarchical Inference (4) Package (1) Robustness (1) Sequential Data (1) Uncertainty Estimation (6)

 Causal Inference (1)

Differentiable DAG Sampling

 Efficient ML (4)

Winning the Lottery Ahead of Time
Natural Posterior Network
End-to-End Learning of Probabilistic Hierarchies on Graphs
Differentiable DAG Sampling

 Energy-Based Models (1)

On Out-of-distribution Detection with Energy-Based Models

 Graph Data (6)

End-to-End Learning of Probabilistic Hierarchies on Graphs
Graph Posterior Network
Scikit-network
Tree Sampling Divergence
Multi-scale Clustering in Graphs using Modularity
Hierarchical Graph Clustering using Node Pair Sampling

 Hierarchical Inference (4)

End-to-End Learning of Probabilistic Hierarchies on Graphs
Tree Sampling Divergence
Multi-scale Clustering in Graphs using Modularity
Hierarchical Graph Clustering using Node Pair Sampling

 Package (1)

Scikit-network

 Robustness (1)

Evaluating Robustness of Predictive Uncertainty Estimation

 Sequential Data (1)

Uncertainty on Asynchronous Time Event Prediction

 Uncertainty Estimation (6)

Natural Posterior Network
Graph Posterior Network
Evaluating Robustness of Predictive Uncertainty Estimation
On Out-of-distribution Detection with Energy-Based Models
Posterior Network
Uncertainty on Asynchronous Time Event Prediction