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A growing body of work has begun to study intervention design for efficient structure learning of causal directed acyclic graphs (DAGs).
An optimal on-line algorithm for metrical task system
Borodin, A., Linial, N., and Saks, M. E · 1992
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Chordal graphs and their clique graphs
Galinier, P., Habib, M., and Paul, C · 1995
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Causal inference and causal explanation with background knowledge
Meek, C · 1995
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Chordal graphs and semidefinite optimization
Vandenberghe, L., Andersen, M. S., et al · 1995
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Using bayesian networks to analyze expression data
Friedman, N., Linial, M., Nachman, I., and Pe’er, D · 2000
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Causation, Prediction, and Search
Spirtes, P., Glymour, C., and Scheines, R · 2000
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Clique tree generalization and new subclasses of chordal graphs
Kumar, P. S. and Madhavan, C. V · 2002
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Causal protein-signaling networks derived from multiparameter single-cell data
Sachs, K., Perez, O., Pe’er, D., Lauffenburger, D. A., and Nolan, G. P · 2005
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N-1 experiments suffice to determine the causal relations among n variables
Eberhardt, F., Glymour, C., and Scheines, R · 2006
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Causation and intervention
Eberhardt, F · 2007
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Active learning of causal networks with intervention experiments and optimal designs
He, Y.-B. and Geng, Z · 2008
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Probabilistic graphical models: principles and techniques
Koller, D. and Friedman, N · 2009
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Causality: Models, Reasoning and Inference
Pearl, J · 2009
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Enumerating markov equivalence classes of acyclic digraph models
Gillispie, S. B. and Perlman, M. D · 2013
Cited alongside, same era.
Experiment selection for causal discovery
Hyttinen, A., Eberhardt, F., and Hoyer, P. O · 2013
Cited alongside, same era.
Cost-optimal learning of causal graphs
Kocaoglu, M., Dimakis, A., and Vishwanath, S · 2017
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Elements of Causal Inference - Foundations and Learning Algorithms
Peters, J., Janzing, D., and Schölkopf, B · 2017
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Budgeted experiment design for causal structure learning
Ghassami, A., Salehkaleybar, S., Kiyavash, N., and Bareinboim, E · 2018
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Experimental design for cost-aware learning of causal graphs
Lindgren, E., Kocaoglu, M., Dimakis, A. G., and Vishwanath, S · 2018
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Handbook of graphical models
Maathuis, M., Drton, M., Lauritzen, S., and Wainwright, M · 2018
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Competitive ratio versus regret minimization: achieving the best of both worlds
Daniely, A. and Mansour, Y · 2019
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Two optimal strategies for active learning of causal models from interventional data
Hauser, A. and Bühlmann, P · 2014
Cited alongside, same era.
Learning causal graphs with small interventions
Shanmugam, K., Kocaoglu, M., Dimakis, A. G., and Vishwanath, S · 2015
Cited alongside, same era.
Optimal experiment design for causal discovery from fixed number of experiments
Ghassami, A., Salehkaleybar, S., and Kiyavash, N · 2017
Cited alongside, same era.
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Counting and sampling from markov equivalent dags using clique trees
Ghassami, A., Salehkaleybar, S., Kiyavash, N., and Zhang, K · 2019
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Sample efficient active learning of causal trees
Greenewald, K., Katz, D., Shanmugam, K., Magliacane, S., Kocaoglu, M., Adsera, E. B., and Bresler, G · 2019
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