
A SimulationBased Test of Identifiability for Bayesian Causal Inference
This paper introduces a procedure for testing the identifiability of Bay...
read it

Preserving Privacy in Personalized Models for Distributed Mobile Services
The ubiquity of mobile devices has led to the proliferation of mobile se...
read it

Using Experimental Data to Evaluate Methods for Observational Causal Inference
Methods that infer causal dependence from observational data are central...
read it

Causal Inference using Gaussian Processes with Structured Latent Confounders
Latent confounders—unobserved variables that influence both treatment an...
read it

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Many applications of computational social science aim to infer causal co...
read it

Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep RL
Saliency maps have been used to support explanations of deep reinforceme...
read it

Bayesian causal inference via probabilistic program synthesis
Causal inference can be formalized as Bayesian inference that combines a...
read it

The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Causal inference is central to many areas of artificial intelligence, in...
read it

Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning
Evaluation of deep reinforcement learning (RL) is inherently challenging...
read it

Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments
Reproducibility in reinforcement learning is challenging: uncontrolled s...
read it

Measuring and Characterizing Generalization in Deep Reinforcement Learning
Deep reinforcementlearning methods have achieved remarkable performance...
read it

A Sound and Complete Algorithm for Learning Causal Models from Relational Data
The PC algorithm learns maximally oriented causal Bayesian networks. How...
read it

Identifying Independence in Relational Models
The rules of dseparation provide a framework for deriving conditional i...
read it
David Jensen
is this you? claim profile