NIPS Causality: Objectives and Assessment

Keyphrases

Publications

2010

Ernest Mwebaze, John A. Quinn
Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment (2010)
Mehreen Saeed
The Use of Bernoulli Mixture Models for Identifying Corners of a Hypercube and Extracting Boolean Rules From Data. NIPS Causality: Objectives and Assessment (2010)
Michael McCann, Yuhua Li, Liam P. Maguire, Adrian Johnston
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. NIPS Causality: Objectives and Assessment (2010)
Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf
Causality: Objectives and Assessment. NIPS Causality: Objectives and Assessment (2010)
Sleiman Itani, Mesrob I. Ohannessian, Karen Sachs, Garry P. Nolan, Munther A. Dahleh
Recovering Cyclic Causal Structure. NIPS Causality: Objectives and Assessment (2010)
Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov
Bayesian Algorithms for Causal Data Mining. NIPS Causality: Objectives and Assessment (2010)
Kun Zhang, Aapo Hyvärinen
Nonlinear acyclic causal models. NIPS Causality: Objectives and Assessment (2010)
A. Philip Dawid
Beware of the DAG! NIPS Causality: Objectives and Assessment (2010)
David Duvenaud, Daniel Eaton, Kevin P. Murphy, Mark Schmidt
Causal learning without DAGs. NIPS Causality: Objectives and Assessment (2010)
Judea Pearl
Causal Inference. NIPS Causality: Objectives and Assessment (2010)
Jerry Jenkins
SIGNET: Boolean Rile Deetermination for Abscisic Acid Signaling. NIPS Causality: Objectives and Assessment (2010)
Alexander R. Statnikov, Constantin F. Aliferis
TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. NIPS Causality: Objectives and Assessment (2010)
Joris M. Mooij, Dominik Janzing
Distinguishing between cause and effect. NIPS Causality: Objectives and Assessment (2010)
You Zhou, Changzhang Wang, Jianxin Yin, Zhi Geng
Discover Local Causal Network around a Target to a Given Depth. NIPS Causality: Objectives and Assessment (2010)
Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Popescu, Klaus-Robert Müller
Comparison of Granger Causality and Phase Slope Index. NIPS Causality: Objectives and Assessment (2010)
Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer
Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment (2010)
Frederick Eberhardt
Causal Discovery as a Game. NIPS Causality: Objectives and Assessment (2010)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment (2010)
Jan Lemeire, Kris Steenhaut
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions. NIPS Causality: Objectives and Assessment (2010)
Robert E. Tillman, Peter Spirtes
When causality matters for prediction. NIPS Causality: Objectives and Assessment (2010)
Cheng Zheng, Zhi Geng
Reverse Engineering of Asynchronous Boolean Networks. NIPS Causality: Objectives and Assessment (2010)

volume 6, 2010

Causality: Objectives and Assessment (NIPS 2008 Workshop), Whistler, Canada, December 12, 2008 NIPS Causality: Objectives and Assessment 6 (2010)