Update teaching.

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Justin Hsu 2021-11-27 21:13:49 -05:00
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@ -44,6 +44,7 @@ From a more traditional algorithms perspective, I am also interested in applying
differential privacy to optimization, machine learning, and mechanism design. differential privacy to optimization, machine learning, and mechanism design.
## Teaching ## ## Teaching ##
- **Foundations of Probabilistic Programming (CS 6182)**: [F21](https://www.cs.cornell.edu/courses/cs6182/2021fa/)
- **Reasoning about Probabilistic Programs** <br> - **Reasoning about Probabilistic Programs** <br>
**Invited Course at [OPLSS 2021](https://www.cs.uoregon.edu/research/summerschool/summer21/index.php)**: **Invited Course at [OPLSS 2021](https://www.cs.uoregon.edu/research/summerschool/summer21/index.php)**:
[[slides](https://justinh.su/files/slides/oplss21.pdf)] [[recordings](https://www.cs.uoregon.edu/research/summerschool/summer21/topics.php)] [[slides](https://justinh.su/files/slides/oplss21.pdf)] [[recordings](https://www.cs.uoregon.edu/research/summerschool/summer21/topics.php)]

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+ **08/2021** This fall, I'm teaching a graduate seminar on **Foundations of
Probabilistic Programming (CS 6182)**. Follow along [here](https://www.cs.cornell.edu/courses/cs6182/2021fa/)!
+ **07/2021** I'm happy to serve on the PC of **POPL 2022** and **PLDI 2022**. + **07/2021** I'm happy to serve on the PC of **POPL 2022** and **PLDI 2022**.
Submit your best papers! Submit your best papers!
+ **06/2021** I gave four lectures at this year's (virtual) [Oregon PL Summer + **06/2021** I gave four lectures at this year's (virtual) [Oregon PL Summer