2 code implementations • 27 Oct 2020 • Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba, Rayid Ghani
The contribution is 1) a methodology for explainable ML researchers to identify use cases and develop methods targeted at them and 2) using that methodology for the domain of public policy and giving an example for the researchers on developing explainable ML methods that result in real-world impact.
no code implementations • 29 Oct 2016 • Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Experimental results showed that the standard LSTM failed at one-minute resolution data while performing well in one-hour resolution data.
no code implementations • 2 Mar 2022 • Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal Mateen, Kasun Amarasinghe, Rayid Ghani, Alison Heppenstall, Nik Lomax, Nick Malleson, Martin O'Reilly, Sebastian Vollmerteke
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing.
no code implementations • 24 Jun 2022 • Kasun Amarasinghe, Kit T. Rodolfa, Sérgio Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
Most existing evaluations of explainable machine learning (ML) methods rely on simplifying assumptions or proxies that do not reflect real-world use cases; the handful of more robust evaluations on real-world settings have shortcomings in their design, resulting in limited conclusions of methods' real-world utility.
no code implementations • 19 Mar 2024 • Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit Rodolfa, Rayid Ghani
Rental assistance programs provide individuals with financial assistance to prevent housing instabilities caused by evictions and avert homelessness.