Courses
Courses taught, listed chronologically.
2027
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Stats 231B - Methods of Machine Learning, Spring 2027
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2026
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Math 277 - Mathematical Foundations of Machine Learning and Artificial Intelligence, Fall 2026
Stats 100A - Introduction to Probability, Fall 2026
Math 170E - Introduction to Probability and Statistics, Spring 2026
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2025
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Math 285J - Quantifying and Certifying AI Systems, Fall 2025
Stats 200A - Applied Probability, Fall 2025
Math 156 - Machine Learning, Spring 2025
Stats 100A - Introduction to Probability, Spring 2025
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2024
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Stats 200A - Applied Probability, Fall 2024
Math 273A - Optimization, Fall 2024
Stats 290 - Current Literature in Statistics, Spring 2024
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2023
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Stats 200A - Applied Probability, Fall 2023
Math 273A - Optimization, Fall 2023
Stats 231B - Theories of Machine Learning, Spring 2023
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2022
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Stats 100A - Introduction to Probability, Fall 2022
Math 273A - Optimization, UCLA, Fall 2022
Math 164 - Optimization, UCLA, Spring 2022
Stats 290 - Current Literature in Statistics, UCLA, Spring 2022
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2021
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Math 273A - Optimization, UCLA, Fall 2021
Stats 100A - Introduction to Probability, UCLA, Fall 2021
Stats 231C - Theories of Machine Learning, UCLA, Spring 2021
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2020
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Stats 200A - Applied Probability, UCLA, Fall 2020
Math 273A - Optimization and Calculus of Variations, UCLA, Fall 2020
Stats 231C - Theories of Machine Learning, UCLA, Spring 2020
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2019
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Math 285J - Applied Mathematics Seminar - Deep Learning Topics, UCLA, Fall 2019
Stats 200A - Applied Probability, UCLA, Fall 2019
Stats 231C - Theories of Machine Learning, UCLA, Spring 2019
IMPRS Ringvorlesung - short course, Topics from Deep Learning, MPI MIS, Winter 2019
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2018
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Math 273A - Optimization and Calculus of Variations, UCLA, Fall 2018
Math 164 - Optimization, UCLA, Fall 2018.
Stat 270 - Mathematical Machine Learning, UCLA, Spring 2018
Math 285J - Applied Mathematics Seminar - Deep Learning Topics, UCLA, Winter 2018
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2014–2016
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Introduction to the Theory of Neural Networks, MS/PhD Lecture, Leipzig University and MPI MIS, Summer Term 2016
Geometric Aspects of Graphical Models and Neural Networks, with N. Ay, MS/PhD Lecture, Leipzig University and MPI MIS, Winter Term 2014/2015
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