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@inproceedings{lakkaraju17,
author = {Lakkaraju, Himabindu and Kleinberg, Jon and Leskovec, Jure and Ludwig, Jens and Mullainathan, Sendhil},
title = {The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables},
booktitle = {Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
series = {KDD '17},
year = {2017},
isbn = {978-1-4503-4887-4},
location = {Halifax, NS, Canada},
pages = {275--284},
numpages = {10},
url = {http://doi.acm.org.libproxy.helsinki.fi/10.1145/3097983.3098066},
doi = {10.1145/3097983.3098066},
acmid = {3098066},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {evaluating machine learning algorithms, selective labels, unmeasured confounders, unobservables},
language = {finnish}
}
@Article{pearl10,
Author="Judea Pearl",
Title="{{A}n introduction to causal inference}",
Journal="Int J Biostat",
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836213/},
Year="2010",
Volume="6",
Number="2",
Pages="Artikkeli 7",
Month="Helmikuu",
language = {finnish}
@article{DBLP:journals/corr/abs-1807-00905,
author = {Maria De{-}Arteaga and
Artur Dubrawski and
Alexandra Chouldechova},
title = {Learning under selective labels in the presence of expert consistency},
journal = {CoRR},
volume = {abs/1807.00905},
year = {2018},
url = {http://arxiv.org/abs/1807.00905},
archivePrefix = {arXiv},
eprint = {1807.00905},
timestamp = {Ma, 13 Elo 2018 16:47:23 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1807-00905},
bibsource = {dblp computer science bibliography, https://dblp.org},
language = {finnish}
}
@misc{zaniewski14,
author = "Amanda Zaniewski",
title = "Bail in the United States: A Review of the Literature",
howpublished = "\url{https://www.mass.gov/files/documents/2016/09/qx/bail-in-united-states-literature-review.pdf}",
year = "2014",
month = "Marraskuu",
note = "PDF, haettu 12.3.2019",
language = {finnish}
}
@article{steinberg18,
title={Freedom Should Be Free: A Brief History of Bail Funds in the United States},
author={Steinberg, Robin and Kalish, Lillian and Ritchin, Ezra},
journal={UCLA Criminal Justice Law Review},
volume={2},
number={1},
year={2018},
language = {finnish}
}
@article{kalisch14,
title={Causal structure learning and inference: a selective review},
author={Markus Kalisch and Peter B{\"u}hlmann},
journal={Quality Technology \& Quantitative Management},
volume={11},
number={1},
pages={3--21},
year={2014},
publisher={Taylor \& Francis},
language = {finnish}
}
@book{okm,
author={{Esitutkinta- ja pakkokeinotoimikunta}},
title={Esitutkintalain, pakkokeinolain ja poliisilain kokonaisuudistus: esitutkinta- ja pakkokeinotoimikunnan mietint{\"o}},
pages={128--131},
year={2009},
publisher={Oikeusministeri{\"o}},
address={Helsinki},
isbn={978-952-466-824-8},
language={finnish},
note = {sivut 128--131}
}
@article{cnn,
title={California eliminates cash bail in sweeping reform},
url={https://edition.cnn.com/2018/08/28/us/bail-california-bill/index.html},
journal={CNN},
@booklet{oinonen16,
author = "Lotta Oinonen",
title = "Johdatus yliopistomatematiikkaan",
year = "2016",
month = "Tammikuu",
note = "Samannimisen kurssin kurssimateriaali",
language={finnish}
}
@book{miksi,
title = {Miksi : syyn ja seurauksen uusi tiede},
author = {Judea Pearl and Dana Mackenzie},
address = {Helsinki},
publisher = {Terra Cognita},
year = {2018},
isbn={978-952-5697-93-3},
note={Suomennos Kimmo Pietil{\"a}inen},
language={finnish}
}
@book{laaksonen13,
author = "Seppo Laaksonen",
title = "Surveymetodiikka: Aineiston kokoamisesta puhdistamisen kautta analyysiin",
publisher = "bookboon.com",
edition = "2",
year = "2013",
language={finnish}
}
@article{propublica16,
title={Machine Bias},
url={https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing},
journal={ProPublica},
author={Julia Angwin and Jeff Larson and Surya Mattu and Lauren Kirchner},
month = "Toukokuu",
year = "2016",
language={finnish},
note = {viitattu 5.4.2019}
}
@article{madras18,
title={Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data},
author={Madras, David and Creager, Elliot and Pitassi, Toniann and Zemel, Richard},
journal={arXiv preprint arXiv:1809.02519},
year={2018},
language={finnish}