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CS 6117.

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Justin Hsu 2022-08-03 22:38:49 -04:00
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content/about.md
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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 ##
- **Category Theory for Computer Scientists (CS 6117)**: [F22](https://www.cs.cornell.edu/courses/cs6117/2022fa/)
- **Data Structures and Functional Programming (CS 3110)**: [S22](https://www.cs.cornell.edu/courses/cs3110/2022sp/) - **Data Structures and Functional Programming (CS 3110)**: [S22](https://www.cs.cornell.edu/courses/cs3110/2022sp/)
- **Foundations of Probabilistic Programming (CS 6182)**: [F21](teaching/f21/cs6182) - **Foundations of Probabilistic Programming (CS 6182)**: [F21](teaching/f21/cs6182)
- **Reasoning about Probabilistic Programs** <br> - **Reasoning about Probabilistic Programs** <br>

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+ **08/2022** This fall, I am teaching [**Category Theory for Computer
Scientists (CS 6117)**](https://www.cs.cornell.edu/courses/cs6117/2022fa/)!
+ **07/2022** **Symbolic Execution for Randomized Programs** to + **07/2022** **Symbolic Execution for Randomized Programs** to
appear at **OOPSLA 2022**. appear at **OOPSLA 2022**.
+ **05/2022** **Data-Driven Invariant Learning for Probabilistic Programs** to + **05/2022** **Data-Driven Invariant Learning for Probabilistic Programs** to
@ -12,12 +14,3 @@
with Nate Foster. with Nate Foster.
+ **11/2021** **A Separation Logic for Negative Dependence** to appear at **POPL + **11/2021** **A Separation Logic for Negative Dependence** to appear at **POPL
2022**. 2022**.
+ **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**.
Submit your best papers!
+ **06/2021** I gave four lectures at this year's (virtual) [Oregon PL Summer
School](https://www.cs.uoregon.edu/research/summerschool/summer21/index.php).
Slides and lecture recordings are [available
online](https://www.cs.uoregon.edu/research/summerschool/summer21/topics.php).
Thanks to the organizers, and thanks to all the enthusiastic students!