Joris M. Mooij
26 papers · 2007–2026 · 3 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Joris M. Mooij?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Tom Claassen, Sara Magliacane, Tineke Blom
8 papers
· 2016–2023
· UAI, JMLR, NeurIPS
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Establishing Markov equivalence in cyclic directed graphs
UAI 2023
Robustness of model predictions under extension
UAI 2022
Conditional independences and causal relations implied by sets of equations
JMLR 2021
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
UAI 2020
Joint Causal Inference from Multiple Contexts
JMLR 2020
Beyond Structural Causal Models: Causal Constraints Models
UAI 2019
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
NeurIPS 2018
Ancestral Causal Inference
NeurIPS 2016
7 papers whose co-authors appear nowhere else under this name
Causal Reasoning with Bipartite Graphical Causal Models
UAI 2026
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence – Preface
UAI 2024
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery
UAI 2021
A weaker faithfulness assumption based on triple interactions
UAI 2021
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
UAI 2019
Causal Effect Inference with Deep Latent-Variable Models
NeurIPS 2017
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
JMLR 2010