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@Unpublished{griffith2020name,
  author        = {Griffith, Alan},
  title         = {Name {{Your Friends}}, but {{Only Five}}? {{The Importance}} of {{Censoring}} in {{Peer Effects Estimates}} Using {{Social Network Data}}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2020},
}

@Unpublished{grinsztajn2022why,
  author        = {Grinsztajn, L{\'e}o and Oyallon, Edouard and Varoquaux, Ga{\"e}l},
  title         = {Why Do Tree-Based Models Still Outperform Deep Learning on Tabular Data?},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2207.08815},
  eprinttype    = {arxiv},
  year          = {2022},
}

@Misc{group2020detailed,
  author        = {Group, Open COVID-19 Data Working},
  title         = {Detailed {{Epidemiological Data}} from the {{COVID-19 Outbreak}}},
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  year          = {2020},
}

@InProceedings{gupta2011thompson,
  author        = {Gupta, Neha and Granmo, Ole-Christoffer and Agrawala, Ashok},
  booktitle     = {2011 10th {{International Conference}} on {{Machine Learning}} and {{Applications}} and {{Workshops}}},
  title         = {Thompson Sampling for Dynamic Multi-Armed Bandits},
  pages         = {484--489},
  publisher     = {{IEEE}},
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  year          = {2011},
}

@Book{hamilton2020time,
  author        = {Hamilton, James Douglas},
  title         = {Time Series Analysis},
  publisher     = {{Princeton university press}},
  date-added    = {2022-12-13 12:58:01 +0100},
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  year          = {2020},
}

@Article{hamon2020robustness,
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  title         = {Robustness and Explainability of Artificial Intelligence},
  date-added    = {2022-12-13 12:58:01 +0100},
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  year          = {2020},
}

@Article{hamzacebi2008improving,
  author        = {Hamza{\c c}ebi, Co{\c s}kun},
  title         = {Improving Artificial Neural Networks' Performance in Seasonal Time Series Forecasting},
  number        = {23},
  pages         = {4550--4559},
  volume        = {178},
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  journal       = {Information Sciences},
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}

@InProceedings{hanneke2007bound,
  author        = {Hanneke, Steve},
  booktitle     = {Proceedings of the 24th International Conference on {{Machine}} Learning},
  title         = {A Bound on the Label Complexity of Agnostic Active Learning},
  pages         = {353--360},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2007},
}

@Article{hansen2020virtue,
  author        = {Hansen, Kristian Bondo},
  title         = {The Virtue of Simplicity: {{On}} Machine Learning Models in Algorithmic Trading},
  number        = {1},
  pages         = {2053951720926558},
  volume        = {7},
  date-added    = {2022-12-13 12:58:01 +0100},
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  journal       = {Big Data \& Society},
  year          = {2020},
}

@Article{hartland2006multiarmed,
  author        = {Hartland, C{\'e}dric and Gelly, Sylvain and Baskiotis, Nicolas and Teytaud, Olivier and Sebag, Michele},
  title         = {Multi-Armed Bandit, Dynamic Environments and Meta-Bandits},
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  year          = {2006},
}

@Article{heckman1985alternative,
  author        = {Heckman, James J and Robb Jr, Richard},
  title         = {Alternative Methods for Evaluating the Impact of Interventions: {{An}} Overview},
  number        = {1-2},
  pages         = {239--267},
  volume        = {30},
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  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of econometrics},
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}

@Article{hershfield2011increasing,
  author        = {Hershfield, Hal E and Goldstein, Daniel G and Sharpe, William F and Fox, Jesse and Yeykelis, Leo and Carstensen, Laura L and Bailenson, Jeremy N},
  title         = {Increasing Saving Behavior through Age-Progressed Renderings of the Future Self},
  issue         = {SPL},
  pages         = {S23--S37},
  volume        = {48},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Marketing Research},
  year          = {2011},
}

@InProceedings{ho1995random,
  author        = {Ho, Tin Kam},
  booktitle     = {Proceedings of 3rd International Conference on Document Analysis and Recognition},
  title         = {Random Decision Forests},
  pages         = {278--282},
  publisher     = {{IEEE}},
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  year          = {1995},
}

@Article{hochreiter1997long,
  author        = {Hochreiter, Sepp and Schmidhuber, J{\"u}rgen},
  title         = {Long Short-Term Memory},
  number        = {8},
  pages         = {1735--1780},
  volume        = {9},
  date-added    = {2022-12-13 12:58:01 +0100},
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  journal       = {Neural computation},
  year          = {1997},
}

@Unpublished{hoff2021bayesoptimal,
  author        = {Hoff, Peter},
  title         = {Bayes-Optimal Prediction with Frequentist Coverage Control},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2105.14045},
  eprinttype    = {arxiv},
  file          = {:/Users/FA31DU/Zotero/storage/IQK27WVA/Hoff - 2021 - Bayes-optimal prediction with frequentist coverage.pdf:;:/Users/FA31DU/Zotero/storage/K8EAZA25/2105.html:},
  year          = {2021},
}

@Misc{hoffman1994german,
  author        = {Hoffman, Hans},
  title         = {German {{Credit Data}}},
  url           = {https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)},
  bdsk-url-1    = {https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {1994},
}

@Online{hoffmanGermanCreditData1994,
  author        = {Hoffman, Hans},
  title         = {German {{Credit Data}}},
  url           = {https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)},
  bdsk-url-1    = {https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {1994},
}

@Unpublished{houlsby2011bayesian,
  author        = {Houlsby, Neil and Husz{\'a}r, Ferenc and Ghahramani, Zoubin and Lengyel, M{\'a}t{\'e}},
  title         = {Bayesian Active Learning for Classification and Preference Learning},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1112.5745},
  eprinttype    = {arxiv},
  year          = {2011},
}

@Article{hsee1996evaluability,
  author        = {Hsee, Christopher K},
  title         = {The Evaluability Hypothesis: {{An}} Explanation for Preference Reversals between Joint and Separate Evaluations of Alternatives},
  number        = {3},
  pages         = {247--257},
  volume        = {67},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Organizational behavior and human decision processes},
  year          = {1996},
}

@Article{hsee2004music,
  author        = {Hsee, Christopher K and Rottenstreich, Yuval},
  title         = {Music, Pandas, and Muggers: On the Affective Psychology of Value.},
  number        = {1},
  pages         = {23},
  volume        = {133},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Experimental Psychology: General},
  year          = {2004},
}

@Article{hsieh2016social,
  author        = {Hsieh, Chih-Sheng and Lee, Lung Fei},
  title         = {A Social Interactions Model with Endogenous Friendship Formation and Selectivity},
  number        = {2},
  pages         = {301--319},
  volume        = {31},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Applied Econometrics},
  year          = {2016},
}

@Unpublished{immer2020improving,
  author        = {Immer, Alexander and Korzepa, Maciej and Bauer, Matthias},
  title         = {Improving Predictions of Bayesian Neural Networks via Local Linearization},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2008.08400},
  eprinttype    = {arxiv},
  year          = {2020},
}

@Unpublished{innes2018fashionable,
  author        = {Innes, Michael and Saba, Elliot and Fischer, Keno and Gandhi, Dhairya and Rudilosso, Marco Concetto and Joy, Neethu Mariya and Karmali, Tejan and Pal, Avik and Shah, Viral},
  title         = {Fashionable Modelling with Flux},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1811.01457},
  eprinttype    = {arxiv},
  year          = {2018},
}

@Article{innes2018flux,
  author        = {Innes, Mike},
  title         = {Flux: {{Elegant}} Machine Learning with {{Julia}}},
  number        = {25},
  pages         = {602},
  volume        = {3},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Open Source Software},
  year          = {2018},
}

@Unpublished{ish-horowicz2019interpreting,
  author        = {Ish-Horowicz, Jonathan and Udwin, Dana and Flaxman, Seth and Filippi, Sarah and Crawford, Lorin},
  title         = {Interpreting Deep Neural Networks through Variable Importance},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1901.09839},
  eprinttype    = {arxiv},
  year          = {2019},
}

@InProceedings{jabbari2017fairness,
  author        = {Jabbari, Shahin and Joseph, Matthew and Kearns, Michael and Morgenstern, Jamie and Roth, Aaron},
  booktitle     = {International {{Conference}} on {{Machine Learning}}},
  title         = {Fairness in Reinforcement Learning},
  pages         = {1617--1626},
  publisher     = {{PMLR}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2017},
}

@Article{jackson2007meeting,
  author        = {Jackson, Matthew O and Rogers, Brian W},
  title         = {Meeting Strangers and Friends of Friends: {{How}} Random Are Social Networks?},
  number        = {3},
  pages         = {890--915},
  volume        = {97},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {American Economic Review},
  year          = {2007},
}

@Unpublished{jeanneret2022diffusion,
  author        = {Jeanneret, Guillaume and Simon, Lo{\"\i}c and Jurie, Fr{\'e}d{\'e}ric},
  title         = {Diffusion {{Models}} for {{Counterfactual Explanations}}},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2203.15636},
  eprinttype    = {arxiv},
  year          = {2022},
}

@Article{johansson2005failure,
  author        = {Johansson, Petter and Hall, Lars and Sikstr{\"o}m, Sverker and Olsson, Andreas},
  title         = {Failure to Detect Mismatches between Intention and Outcome in a Simple Decision Task},
  number        = {5745},
  pages         = {116--119},
  volume        = {310},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Science (New York, N.Y.)},
  shortjournal  = {Science},
  year          = {2005},
}

@Article{johnsson2021estimation,
  author        = {Johnsson, Ida and Moon, Hyungsik Roger},
  title         = {Estimation of Peer Effects in Endogenous Social Networks: {{Control}} Function Approach},
  number        = {2},
  pages         = {328--345},
  volume        = {103},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Review of Economics and Statistics},
  year          = {2021},
}

@Article{jolliffe2003modified,
  author        = {Jolliffe, Ian T and Trendafilov, Nickolay T and Uddin, Mudassir},
  title         = {A Modified Principal Component Technique Based on the {{LASSO}}},
  number        = {3},
  pages         = {531--547},
  volume        = {12},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of computational and Graphical Statistics},
  year          = {2003},
}

@Article{joseph2021forecasting,
  author        = {Joseph, Andreas and Kalamara, Eleni and Kapetanios, George and Potjagailo, Galina},
  title         = {Forecasting Uk Inflation Bottom Up},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2021},
}

@Unpublished{joshi2019realistic,
  author        = {Joshi, Shalmali and Koyejo, Oluwasanmi and Vijitbenjaronk, Warut and Kim, Been and Ghosh, Joydeep},
  title         = {Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1907.09615},
  eprinttype    = {arxiv},
  year          = {2019},
}

@Unpublished{jospin2020handson,
  author        = {Jospin, Laurent Valentin and Buntine, Wray and Boussaid, Farid and Laga, Hamid and Bennamoun, Mohammed},
  title         = {Hands-on {{Bayesian Neural Networks}}--a {{Tutorial}} for {{Deep Learning Users}}},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2007.06823},
  eprinttype    = {arxiv},
  year          = {2020},
}

@Misc{kaggle2011give,
  author        = {Kaggle},
  title         = {Give Me Some Credit, {{Improve}} on the State of the Art in Credit Scoring by Predicting the Probability That Somebody Will Experience Financial Distress in the next Two Years.},
  url           = {https://www.kaggle.com/c/GiveMeSomeCredit},
  bdsk-url-1    = {https://www.kaggle.com/c/GiveMeSomeCredit},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  publisher     = {{Kaggle}},
  year          = {2011},
}

@online{kagglecompetitionGiveMeCredit,
	author = {Kaggle Competition},
	date-added = {2022-12-13 12:58:01 +0100},
	date-modified = {2022-12-13 12:58:01 +0100},
	title = {Give Me Some Credit, {{Improve}} on the State of the Art in Credit Scoring by Predicting the Probability That Somebody Will Experience Financial Distress in the next Two Years.},
	url = {https://www.kaggle.com/c/GiveMeSomeCredit},
	bdsk-url-1 = {https://www.kaggle.com/c/GiveMeSomeCredit}}

@Article{kahneman1979prospect,
  author        = {Kahneman, Daniel and Tversky, Amos},
  title         = {Prospect {{Theory}}: {{An Analysis}} of {{Decision}} under {{Risk}}},
  pages         = {263--291},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
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  year          = {1979},
}

@Article{kahneman1990experimental,
  author        = {Kahneman, Daniel and Knetsch, Jack L and Thaler, Richard H},
  title         = {Experimental Tests of the Endowment Effect and the {{Coase}} Theorem},
  number        = {6},
  pages         = {1325--1348},
  volume        = {98},
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  date-modified = {2022-12-13 12:58:01 +0100},
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  year          = {1990},
}

@Article{kahneman1992reference,
  author        = {Kahneman, Daniel},
  title         = {Reference Points, Anchors, Norms, and Mixed Feelings},
  number        = {2},
  pages         = {296--312},
  volume        = {51},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Organizational behavior and human decision processes},
  year          = {1992},
}

@Unpublished{karimi2020algorithmic,
  author        = {Karimi, Amir-Hossein and Von K{\"u}gelgen, Julius and Sch{\"o}lkopf, Bernhard and Valera, Isabel},
  title         = {Algorithmic Recourse under Imperfect Causal Knowledge: A Probabilistic Approach},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2006.06831},
  eprinttype    = {arxiv},
  year          = {2020},
}

@Unpublished{karimi2020survey,
  author        = {Karimi, Amir-Hossein and Barthe, Gilles and Sch{\"o}lkopf, Bernhard and Valera, Isabel},
  title         = {A Survey of Algorithmic Recourse: Definitions, Formulations, Solutions, and Prospects},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2010.04050},
  eprinttype    = {arxiv},
  year          = {2020},
}

@InProceedings{karimi2021algorithmic,
  author        = {Karimi, Amir-Hossein and Sch{\"o}lkopf, Bernhard and Valera, Isabel},
  booktitle     = {Proceedings of the 2021 {{ACM Conference}} on {{Fairness}}, {{Accountability}}, and {{Transparency}}},
  title         = {Algorithmic Recourse: From Counterfactual Explanations to Interventions},
  pages         = {353--362},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2021},
}

@InProceedings{kaur2020interpreting,
  author        = {Kaur, Harmanpreet and Nori, Harsha and Jenkins, Samuel and Caruana, Rich and Wallach, Hanna and Wortman Vaughan, Jennifer},
  booktitle     = {Proceedings of the 2020 {{CHI}} Conference on Human Factors in Computing Systems},
  title         = {Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning},
  pages         = {1--14},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2020},
}

@Article{kehoe2021defence,
  author        = {Kehoe, Aidan and Wittek, Peter and Xue, Yanbo and Pozas-Kerstjens, Alejandro},
  title         = {Defence against Adversarial Attacks Using Classical and Quantum-Enhanced {{Boltzmann}} Machines},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Machine Learning: Science and Technology},
  year          = {2021},
}

@Unpublished{kendall2017what,
  author        = {Kendall, Alex and Gal, Yarin},
  title         = {What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1703.04977},
  eprinttype    = {arxiv},
  year          = {2017},
}

@Article{kihoro2004seasonal,
  author        = {Kihoro, J and Otieno, RO and Wafula, C},
  title         = {Seasonal Time Series Forecasting: {{A}} Comparative Study of {{ARIMA}} and {{ANN}} Models},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2004},
}

@Book{kilian2017structural,
  author        = {Kilian, Lutz and L{\"u}tkepohl, Helmut},
  title         = {Structural Vector Autoregressive Analysis},
  publisher     = {{Cambridge University Press}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2017},
}

@Unpublished{kingma2014adam,
  author        = {Kingma, Diederik P and Ba, Jimmy},
  title         = {Adam: {{A}} Method for Stochastic Optimization},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1412.6980},
  eprinttype    = {arxiv},
  year          = {2014},
}

@Article{kirsch2019batchbald,
  author        = {Kirsch, Andreas and Van Amersfoort, Joost and Gal, Yarin},
  title         = {Batchbald: {{Efficient}} and Diverse Batch Acquisition for Deep Bayesian Active Learning},
  pages         = {7026--7037},
  volume        = {32},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Advances in neural information processing systems},
  year          = {2019},
}

@Unpublished{kuiper2021exploring,
  author        = {Kuiper, Ouren and van den Berg, Martin and van den Burgt, Joost and Leijnen, Stefan},
  title         = {Exploring {{Explainable AI}} in the {{Financial Sector}}: {{Perspectives}} of {{Banks}} and {{Supervisory Authorities}}},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2111.02244},
  eprinttype    = {arxiv},
  year          = {2021},
}

@Article{kydland1982time,
  author        = {Kydland, Finn E and Prescott, Edward C},
  title         = {Time to Build and Aggregate Fluctuations},
  pages         = {1345--1370},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Econometrica: Journal of the Econometric Society},
  year          = {1982},
}

@Unpublished{lachapelle2019gradientbased,
  author        = {Lachapelle, S{\'e}bastien and Brouillard, Philippe and Deleu, Tristan and Lacoste-Julien, Simon},
  title         = {Gradient-Based Neural Dag Learning},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1906.02226},
  eprinttype    = {arxiv},
  year          = {2019},
}

@InProceedings{lakkaraju2020how,
  author        = {Lakkaraju, Himabindu and Bastani, Osbert},
  booktitle     = {Proceedings of the {{AAAI}}/{{ACM Conference}} on {{AI}}, {{Ethics}}, and {{Society}}},
  title         = {" {{How}} Do {{I}} Fool You?" {{Manipulating User Trust}} via {{Misleading Black Box Explanations}}},
  pages         = {79--85},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2020},
}

@InProceedings{lakkaraju2020how,
  author        = {Lakkaraju, Himabindu and Bastani, Osbert},
  booktitle     = {Proceedings of the {{AAAI}}/{{ACM Conference}} on {{AI}}, {{Ethics}}, and {{Society}}},
  title         = {" {{How Do I Fool You}}?" {{Manipulating User Trust}} via {{Misleading Black Box Explanations}}},
  pages         = {79--85},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2020},
}

@Unpublished{lakshminarayanan2016simple,
  author        = {Lakshminarayanan, Balaji and Pritzel, Alexander and Blundell, Charles},
  title         = {Simple and Scalable Predictive Uncertainty Estimation Using Deep Ensembles},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1612.01474},
  eprinttype    = {arxiv},
  year          = {2016},
}

@Unpublished{laugel2017inverse,
  author        = {Laugel, Thibault and Lesot, Marie-Jeanne and Marsala, Christophe and Renard, Xavier and Detyniecki, Marcin},
  title         = {Inverse Classification for Comparison-Based Interpretability in Machine Learning},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1712.08443},
  eprinttype    = {arxiv},
  shortjournal  = {arXiv preprint arXiv:1712.08443},
  year          = {2017},
}

@Thesis{lawrence2001variational,
  author        = {Lawrence, Neil David},
  title         = {Variational Inference in Probabilistic Models},
  type          = {phdthesis},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  school        = {{University of Cambridge}},
  year          = {2001},
}

@Article{lecun1998mnist,
  author        = {LeCun, Yann},
  title         = {The {{MNIST}} Database of Handwritten Digits},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  shortjournal  = {http://yann. lecun. com/exdb/mnist/},
  year          = {1998},
}

@Article{lee2003best,
  author        = {Lee, Lung-fei},
  title         = {Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances},
  number        = {4},
  pages         = {307--335},
  volume        = {22},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Econometric Reviews},
  year          = {2003},
}

@Article{lerner2013financial,
  author        = {Lerner, Jennifer S and Li, Ye and Weber, Elke U},
  title         = {The Financial Costs of Sadness},
  number        = {1},
  pages         = {72--79},
  volume        = {24},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Psychological science},
  year          = {2013},
}

@Article{list2004neoclassical,
  author        = {List, John A},
  title         = {Neoclassical Theory versus Prospect Theory: {{Evidence}} from the Marketplace},
  number        = {2},
  pages         = {615--625},
  volume        = {72},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Econometrica : journal of the Econometric Society},
  shortjournal  = {Econometrica},
  year          = {2004},
}

@Article{lucas1976econometric,
  author        = {Lucas, JR},
  title         = {Econometric Policy Evaluation: A Critique `, in {{K}}. {{Brunner}} and {{A Meltzer}}, {{The Phillips}} Curve and Labor Markets, {{North Holland}}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {1976},
}

@InProceedings{lundberg2017unified,
  author        = {Lundberg, Scott M and Lee, Su-In},
  booktitle     = {Proceedings of the 31st International Conference on Neural Information Processing Systems},
  title         = {A Unified Approach to Interpreting Model Predictions},
  pages         = {4768--4777},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2017},
}

@Book{lutkepohl2005new,
  author        = {L{\"u}tkepohl, Helmut},
  title         = {New Introduction to Multiple Time Series Analysis},
  publisher     = {{Springer Science \& Business Media}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2005},
}

@Article{madrian2001power,
  author        = {Madrian, Brigitte C and Shea, Dennis F},
  title         = {The Power of Suggestion: {{Inertia}} in 401 (k) Participation and Savings Behavior},
  number        = {4},
  pages         = {1149--1187},
  volume        = {116},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {The Quarterly journal of economics},
  year          = {2001},
}

@Book{manning2008introduction,
  author        = {Manning, Christopher D and Sch{\"u}tze, Hinrich and Raghavan, Prabhakar},
  title         = {Introduction to Information Retrieval},
  publisher     = {{Cambridge university press}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2008},
}

@misc{manokhin2022awesome,
	author = {Manokhin, Valery},
	date-added = {2022-12-13 12:58:01 +0100},
	date-modified = {2022-12-13 12:58:01 +0100},
	title = {Awesome Conformal Prediction}}

@Article{manski1993identification,
  author        = {Manski, Charles F},
  title         = {Identification of Endogenous Social Effects: {{The}} Reflection Problem},
  number        = {3},
  pages         = {531--542},
  volume        = {60},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {The review of economic studies},
  year          = {1993},
}

@Article{markle2018goals,
  author        = {Markle, Alex and Wu, George and White, Rebecca and Sackett, Aaron},
  title         = {Goals as Reference Points in Marathon Running: {{A}} Novel Test of Reference Dependence},
  number        = {1},
  pages         = {19--50},
  volume        = {56},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Risk and Uncertainty},
  year          = {2018},
}

@Article{masini2021machine,
  author        = {Masini, Ricardo P and Medeiros, Marcelo C and Mendes, Eduardo F},
  title         = {Machine Learning Advances for Time Series Forecasting},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Economic Surveys},
  year          = {2021},
}

@Article{mccracken2016fredmd,
  author        = {McCracken, Michael W and Ng, Serena},
  title         = {{{FRED-MD}}: {{A}} Monthly Database for Macroeconomic Research},
  number        = {4},
  pages         = {574--589},
  volume        = {34},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Business \& Economic Statistics},
  year          = {2016},
}

@Article{mcculloch1990logical,
  author        = {McCulloch, Warren S and Pitts, Walter},
  title         = {A Logical Calculus of the Ideas Immanent in Nervous Activity},
  number        = {1},
  pages         = {99--115},
  volume        = {52},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Bulletin of mathematical biology},
  year          = {1990},
}

@Article{migut2015visualizing,
  author        = {Migut, MA and Worring, Marcel and Veenman, Cor J},
  title         = {Visualizing Multi-Dimensional Decision Boundaries in {{2D}}},
  number        = {1},
  pages         = {273--295},
  volume        = {29},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Data Mining and Knowledge Discovery},
  year          = {2015},
}

@Article{miller2019explanation,
  author        = {Miller, Tim},
  title         = {Explanation in Artificial Intelligence: {{Insights}} from the Social Sciences},
  pages         = {1--38},
  volume        = {267},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Artificial intelligence},
  year          = {2019},
}

@InProceedings{miller2020strategic,
  author        = {Miller, John and Milli, Smitha and Hardt, Moritz},
  booktitle     = {Proceedings of the 37th {{International Conference}} on {{Machine Learning}}},
  title         = {Strategic {{Classification}} Is {{Causal Modeling}} in {{Disguise}}},
  eventtitle    = {International {{Conference}} on {{Machine Learning}}},
  pages         = {6917--6926},
  publisher     = {{PMLR}},
  url           = {https://proceedings.mlr.press/v119/miller20b.html},
  urldate       = {2022-11-03},
  abstract      = {Consequential decision-making incentivizes individuals to strategically adapt their behavior to the specifics of the decision rule. While a long line of work has viewed strategic adaptation as gaming and attempted to mitigate its effects, recent work has instead sought to design classifiers that incentivize individuals to improve a desired quality. Key to both accounts is a cost function that dictates which adaptations are rational to undertake. In this work, we develop a causal framework for strategic adaptation. Our causal perspective clearly distinguishes between gaming and improvement and reveals an important obstacle to incentive design. We prove any procedure for designing classifiers that incentivize improvement must inevitably solve a non-trivial causal inference problem. We show a similar result holds for designing cost functions that satisfy the requirements of previous work. With the benefit of hindsight, our results show much of the prior work on strategic classification is causal modeling in disguise.},
  bdsk-url-1    = {https://proceedings.mlr.press/v119/miller20b.html},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  file          = {:/Users/FA31DU/Zotero/storage/46I2QMPI/Miller et al. - 2020 - Strategic Classification is Causal Modeling in Dis.pdf:;:/Users/FA31DU/Zotero/storage/NWREET6B/Miller et al. - 2020 - Strategic Classification is Causal Modeling in Dis.pdf:},
  issn          = {2640-3498},
  langid        = {english},
  month         = nov,
  year          = {2020},
}

@Article{mischel1988nature,
  author        = {Mischel, Walter and Shoda, Yuichi and Peake, Philip K},
  title         = {The Nature of Adolescent Competencies Predicted by Preschool Delay of Gratification.},
  number        = {4},
  pages         = {687},
  volume        = {54},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of personality and social psychology},
  year          = {1988},
}

@InProceedings{mittelstadt2019explaining,
  author        = {Mittelstadt, Brent and Russell, Chris and Wachter, Sandra},
  booktitle     = {Proceedings of the Conference on Fairness, Accountability, and Transparency},
  title         = {Explaining Explanations in {{AI}}},
  pages         = {279--288},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2019},
}

@Book{molnar2020interpretable,
  author        = {Molnar, Christoph},
  title         = {Interpretable Machine Learning},
  publisher     = {{Lulu. com}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2020},
}

@Book{morgan2015counterfactuals,
  author        = {Morgan, Stephen L and Winship, Christopher},
  title         = {Counterfactuals and Causal Inference},
  publisher     = {{Cambridge University Press}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2015},
}

@Article{mosteller1951experimental,
  author        = {Mosteller, Frederick and Nogee, Philip},
  title         = {An Experimental Measurement of Utility},
  number        = {5},
  pages         = {371--404},
  volume        = {59},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Journal of Political Economy},
  year          = {1951},
}

@InProceedings{mothilal2020explaining,
  author        = {Mothilal, Ramaravind K and Sharma, Amit and Tan, Chenhao},
  booktitle     = {Proceedings of the 2020 {{Conference}} on {{Fairness}}, {{Accountability}}, and {{Transparency}}},
  title         = {Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations},
  pages         = {607--617},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2020},
}

@Book{murphy2012machine,
  author        = {Murphy, Kevin P},
  title         = {Machine Learning: A Probabilistic Perspective},
  publisher     = {{MIT press}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2012},
}

@Book{murphy2012machine,
  author        = {Murphy, Kevin P},
  title         = {Machine Learning: {{A}} Probabilistic Perspective},
  publisher     = {{MIT press}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2012},
}

@Book{murphy2022probabilistic,
  author        = {Murphy, Kevin P},
  title         = {Probabilistic {{Machine Learning}}: {{An}} Introduction},
  publisher     = {{MIT Press}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2022},
}

@Article{nagel1995unraveling,
  author        = {Nagel, Rosemarie},
  title         = {Unraveling in Guessing Games: {{An}} Experimental Study},
  number        = {5},
  pages         = {1313--1326},
  volume        = {85},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {The American Economic Review},
  year          = {1995},
}

@Unpublished{navarro-martinez2021bridging,
  author        = {Navarro-Martinez, Daniel and Wang, Xinghua},
  title         = {Bridging the Gap between the Lab and the Field: {{Dictator}} Games and Donations},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2021},
}

@InProceedings{nelson2015evaluating,
  author        = {Nelson, Kevin and Corbin, George and Anania, Mark and Kovacs, Matthew and Tobias, Jeremy and Blowers, Misty},
  booktitle     = {2015 {{IEEE Symposium}} on {{Computational Intelligence}} for {{Security}} and {{Defense Applications}} ({{CISDA}})},
  title         = {Evaluating Model Drift in Machine Learning Algorithms},
  pages         = {1--8},
  publisher     = {{IEEE}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2015},
}

@Book{nocedal2006numerical,
  author        = {Nocedal, Jorge and Wright, Stephen},
  title         = {Numerical Optimization},
  publisher     = {{Springer Science \& Business Media}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2006},
}

@Misc{oecd2021artificial,
  author        = {{OECD}},
  title         = {Artificial {{Intelligence}}, {{Machine Learning}} and {{Big Data}} in {{Finance}}: {{Opportunities}}, {{Challenges}} and {{Implications}} for {{Policy Makers}}},
  url           = {https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf},
  bdsk-url-1    = {https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2021},
}

@Online{oecdArtificialIntelligenceMachine2021,
  author        = {{OECD}},
  title         = {Artificial {{Intelligence}}, {{Machine Learning}} and {{Big Data}} in {{Finance}}: {{Opportunities}}, {{Challenges}} and {{Implications}} for {{Policy Makers}}},
  url           = {https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf},
  bdsk-url-1    = {https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  publisher     = {{OECD}},
  year          = {2021},
}

@Book{oneil2016weapons,
  author        = {O'Neil, Cathy},
  title         = {Weapons of Math Destruction: {{How}} Big Data Increases Inequality and Threatens Democracy},
  publisher     = {{Crown}},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  year          = {2016},
}

@Article{pace1997sparse,
  author        = {Pace, R Kelley and Barry, Ronald},
  title         = {Sparse Spatial Autoregressions},
  number        = {3},
  pages         = {291--297},
  volume        = {33},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  journal       = {Statistics \& Probability Letters},
  year          = {1997},
}

@Unpublished{parr2018matrix,
  author        = {Parr, Terence and Howard, Jeremy},
  title         = {The Matrix Calculus You Need for Deep Learning},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {1802.01528},
  eprinttype    = {arxiv},
  year          = {2018},
}

@Unpublished{pawelczyk2021carla,
  author        = {Pawelczyk, Martin and Bielawski, Sascha and van den Heuvel, Johannes and Richter, Tobias and Kasneci, Gjergji},
  title         = {Carla: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms},
  archiveprefix = {arXiv},
  date-added    = {2022-12-13 12:58:01 +0100},
  date-modified = {2022-12-13 12:58:01 +0100},
  eprint        = {2108.00783},