Adjust readings for PL lectures.
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10/28 | Overview and basic notions | JH | --- |
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10/28 | Overview and basic notions | JH | --- |
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10/30 | Probabilistic programming languages <br> **Reading:** [*Probabilistic Programming*](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/fose-icse2014.pdf) | Miru/Pierre | Nat/Geetika |
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10/30 | Probabilistic programming languages <br> **Reading:** [*Probabilistic Programming*](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/fose-icse2014.pdf) | Miru/Pierre | Nat/Geetika |
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11/1 | Automata learning and interpretability <br> **Reading:** [*Model Learning*](https://m-cacm.acm.org/magazines/2017/2/212445-model-learning/fulltext) <br> **Reading:** [*Interpreting Finite Automata for Sequential Data*](https://arxiv.org/pdf/1611.07100) | Jack/Jack | Abhirav/Rajan |
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11/1 | Automata learning and interpretability <br> **Reading:** [*Model Learning*](https://m-cacm.acm.org/magazines/2017/2/212445-model-learning/fulltext) <br> **Reading:** [*Interpreting Finite Automata for Sequential Data*](https://arxiv.org/pdf/1611.07100) | Jack/Jack | Abhirav/Rajan |
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11/4 | Programming languages for differential privacy <br> **Reading:** [*Programming Language Techniques for Differential Privacy*](https://siglog.hosting.acm.org/wp-content/uploads/2016/01/siglog_news_7.pdf) | JH | --- |
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11/4 | Programming languages for differential privacy <br> **Reading:** [*Distance Makes the Types Grow Stronger: A Calculus for Differential Privacy*](https://www.cis.upenn.edu/~bcpierce/papers/dp.pdf) <br> **See also:** [*Programming Language Techniques for Differential Privacy*](https://siglog.hosting.acm.org/wp-content/uploads/2016/01/siglog_news_7.pdf) | JH | --- |
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11/6 | Verifying neural networks <br> **Reading:** [*AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation*](https://files.sri.inf.ethz.ch/website/papers/sp2018.pdf) <br> **Reading:** [*DL2: Training and Querying Neural Networks with Logic*](http://proceedings.mlr.press/v97/fischer19a/fischer19a.pdf) | JH | --- |
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11/6 | Verifying neural networks <br> **Reading:** [*AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation*](https://files.sri.inf.ethz.ch/website/papers/sp2018.pdf) <br> **See also:** [*DL2: Training and Querying Neural Networks with Logic*](http://proceedings.mlr.press/v97/fischer19a/fischer19a.pdf) | JH | --- |
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11/8 | Verifying probabilistic programs <br> **Reading:** [*Advances and Challenges of Probabilistic Model Checking*](https://www.prismmodelchecker.org/papers/allerton10.pdf) <br> **Reading:** [*A Program Logic for Union Bounds*](https://arxiv.org/pdf/1602.05681) | JH | Miru | MS2 Due
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11/8 | Verifying probabilistic programs <br> **Reading:** [*A Program Logic for Union Bounds*](https://arxiv.org/pdf/1602.05681) <br> **See also:** [*Advances and Challenges of Probabilistic Model Checking*](https://www.prismmodelchecker.org/papers/allerton10.pdf) | JH | Miru | MS2 Due
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| <center> <h4> **No Lectures: Work on Projects** </h4> </center> | | |
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| <center> <h4> **No Lectures: Work on Projects** </h4> </center> | | |
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12/11 | Project Presentations 1 | | Final Projects |
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12/11 | Project Presentations 1 | | Final Projects |
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12/13 | Project Presentations 2 <br> **TIME AND PLACE: TBD** | | |
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12/13 | Project Presentations 2 <br> **TIME AND PLACE: TBD** | | |
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