From b98be86a700afab0923bb984c10aded738e1aab9 Mon Sep 17 00:00:00 2001 From: Justin Hsu Date: Tue, 22 Sep 2020 18:05:51 -0500 Subject: [PATCH] Update readings. --- website/docs/schedule/lectures.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/schedule/lectures.md b/website/docs/schedule/lectures.md index 10af25c..f8e03c0 100644 --- a/website/docs/schedule/lectures.md +++ b/website/docs/schedule/lectures.md @@ -29,7 +29,7 @@ 10/19 | Inherent tradeoffs
**Reading:** [*Inherent Trade-Offs in the Fair Determination of Risk Scores*](https://arxiv.org/pdf/1609.05807) | Shiyu/Rita | Rishabh/Aaron | 10/21 | Fairness and causality
**Reading:** [Barocas, Hardt, and Narayanan](https://fairmlbook.org/causal.html), Chapter 4 | Justin | --- | 10/23 | Fairness in unsupervised learning
**Reading:** [*Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings*](https://arxiv.org/pdf/1607.06520)
**See also:** [*Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints*](https://arxiv.org/pdf/1707.09457) | Keaton/Anna | Shiyu/Rita | -10/26 | Testing fairness, empirically
**Reading:** [Barocas, Hardt, and Narayanan](https://fairmlbook.org/testing.html), Chapter 5 | Rishabh/Aaron | Mike | +10/26 | Testing fairness, empirically
**Reading:** [*Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination*](https://arxiv.org/pdf/1408.6491.pdf)
**Reading:** [*Discrimination through optimization: How Facebook’s ad delivery can lead to skewed outcomes*](https://arxiv.org/pdf/1904.02095.pdf)
**See also:** [Barocas, Hardt, and Narayanan](https://fairmlbook.org/testing.html), Chapter 5 | Rishabh/Aaron | Mike | |

**PL and Verification**

| | | 10/28 | Overview and basic notions | Justin | --- | 10/30 | Probabilistic programming languages
**Reading:** [*Probabilistic Programming*](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/fose-icse2014.pdf) | Vishal/Nikita | Zijian/Yuchen |