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In causal bandit problems, the action set consists of interventions on variables of a causal graph.
Regret analysis of causal bandit problems
Lu, Y., Meisami, A., Tewari, A., and Yan, Z. (2019) · 1910
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A characterization of markov equivalence classes for acyclic digraphs
Andersson, S. A., Madigan, D., Perlman, M. D., et al. (1997) · 1997
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Finite-time analysis of the multiarmed bandit problem
Auer, P., Cesa-Bianchi, N., and Fischer, P. (2002) · 2002
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Clique tree generalization and new subclasses of chordal graphs
Kumar, P. S. and Madhavan, C. V. (2002) · 2002
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Two classes of bipartite networks: nested biological and social systems
Burgos, E., Ceva, H., Hernández, L., Perazzo, R. P., Devoto, M., and Medan, D. (2008) · 2008
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Active learning of causal networks with intervention experiments and optimal designs
He, Y.-B. and Geng, Z. (2008) · 2008
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Causal discovery for causal bandits utilizing separating sets
de Kroon, A. A., Belgrave, D., and Mooij, J. M. (2020) · 2009
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Improved algorithms for linear stochastic bandits
Abbasi-Yadkori, Y., Pál, D., and Szepesvári, C. (2011) · 2011
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Active structure learning of causal dags via directed clique tree
Squires, C., Magliacane, S., Greenewald, K., Katz, D., Kocaoglu, M., and Shanmugam, K. (2020) · 2011
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Online-to-confidence-set conversions and application to sparse stochastic bandits
Abbasi-Yadkori, Y., Pal, D., and Szepesvari, C. (2012) · 2012
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Analysis of thompson sampling for the multi-armed bandit problem
Agrawal, S. and Goyal, N. (2012) · 2012
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Combinatorial bandits
Cesa-Bianchi, N. and Lugosi, G. (2012) · 2012
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Identifiability of causal graphs using functional models
Peters, J., Mooij, J., Janzing, D., and Schölkopf, B. (2012) · 2012
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Experiment selection for causal discovery
Hyttinen, A., Eberhardt, F., and Hoyer, P. O. (2013) · 2013
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Combinatorial bandits revisited
Combes, R., Talebi, M. S., Proutiere, A., and Lelarge, M. (2015) · 2015
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Identifying best interventions through online importance sampling
Sen, R., Shanmugam, K., Dimakis, A. G., and Shakkottai, S. (2017) · 2017
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Bandit algorithms
Lattimore, T. and Szepesvári, C. (2018) · 2018
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Structural causal bandits: where to intervene?
Lee, S. and Bareinboim, E. (2018) · 2018
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Experimental design for cost-aware learning of causal graphs
Lindgren, E. M., Kocaoglu, M., Dimakis, A. G., and Vishwanath, S. (2018) · 2018
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Bipartite graphs in systems biology and medicine: a survey of methods and applications
Pavlopoulos, G. A., Kontou, P. I., Pavlopoulou, A., Bouyioukos, C., Markou, E., and Bagos, P. G. (2018) · 2018
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Sample efficient active learning of causal trees
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Shanmugam, K., Kocaoglu, M., Dimakis, A. G., and Vishwanath, S. (2015) · 2015
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Network analysis of genes and their association with diseases
Kontou, P. I., Pavlopoulou, A., Dimou, N. L., Pavlopoulos, G. A., and Bagos, P. G. (2016) · 2016
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Causal bandits: Learning good interventions via causal inference
Lattimore, F., Lattimore, T., and Reid, M. D. (2016) · 2016
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Introduction to the foundations of causal discovery
Eberhardt, F. (2017) · 2017
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Cost-optimal learning of causal graphs
Kocaoglu, M., Dimakis, A., and Vishwanath, S. (2017) · 2017
Cited alongside, same era.
Further optimal regret bounds for thompson sampling
Agrawal, S. and Goyal, N. (2013a)
Cited in the paper.
Thompson sampling for contextual bandits with linear payoffs
Agrawal, S. and Goyal, N. (2013b)
Cited in the paper.
Greenewald, K., Katz, D., Shanmugam, K., Magliacane, S., Kocaoglu, M., Adsera, E. B., and Bresler, G. (2019) · 2019
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Structural causal bandits with non-manipulable variables
Lee, S. and Bareinboim, E. (2019) · 2019
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Reinforcement learning for clinical decision support in critical care: comprehensive review
Liu, S., See, K. C., Ngiam, K. Y., Celi, L. A., Sun, X., and Feng, M. (2020) · 2020
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Genetic engineering — Wikipedia, the free encyclopedia
Wikipedia contributors (2021) · 2021
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Budgeted and non-budgeted causal bandits
Nair, V., Patil, V., and Sinha, G. (2021) · 2025
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