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 Dominik Janzing, Bernhard Schölkopf, Jonas Peters
6 papers
· 2008–2016
· NeurIPS, JMLR
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Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks
JMLR 2016
Causal Discovery with Continuous Additive Noise Models
JMLR 2014
Efficient inference in matrix-variate Gaussian models with \iid observation noise
NeurIPS 2011
On Causal Discovery with Cyclic Additive Noise Models
NeurIPS 2011
Probabilistic latent variable models for distinguishing between cause and effect
NeurIPS 2010
Nonlinear causal discovery with additive noise models
NeurIPS 2008
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