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Finnian Lattimore
Finnian Lattimore
PhD Student, Australian National University
No verified email
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Cited by
Cited by
Year
Causal bandits: Learning good interventions via causal inference
F Lattimore, T Lattimore, MD Reid
Advances in neural information processing systems 29, 2016
1572016
Youth well-being predicts later academic success
D Cárdenas, F Lattimore, D Steinberg, KJ Reynolds
Scientific Reports 12 (1), 2134, 2022
292022
Fast fair regression via efficient approximations of mutual information
D Steinberg, A Reid, S O'Callaghan, F Lattimore, L McCalman, T Caetano
arXiv preprint arXiv:2002.06200, 2020
242020
Replacing the do-calculus with Bayes rule
F Lattimore, D Rohde
arXiv preprint arXiv:1906.07125, 2019
122019
A primer on causal analysis
F Lattimore, CS Ong
arXiv preprint arXiv:1806.01488, 2018
102018
Causal inference with Bayes rule
F Lattimore, D Rohde
arXiv preprint arXiv:1910.01510, 2019
42019
Ethical Machine Learning and Artificial Intelligence
N Quadrianto, BW Schuller, FR Lattimore
Frontiers in big Data 4, 742589, 2021
22021
Learning how to act: making good decisions with machine learning
F Lattimore
PQDT-Global, 2017
22017
Practical Insights Into Applying Double LASSO
J Fitzgerald Sice, F Lattimore, T Robinson, A Zhu
Available at SSRN 4452778, 2023
2023
The Crossover Process: Learnability and Data Protection from Inference Attacks
R Nock, G Patrini, F Lattimore, T Caetano
arXiv preprint arXiv:1606.04160, 2016
2016
The Crossover Process: Learnability meets Protection from Inference Attacks
R Nock, G Patrini, F Lattimore, T Caetano
arXiv preprint arXiv:1606.04160, 2016
2016
Causal Inference in Machine Learning: A review
F Lattimore
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Articles 1–12