University of Illinois at Chicago |
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| Spring 2024 | CS 512 Advanced Machine Learning (Syllabus) | ||
| Fall 2023 | CS 412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2023 | CS 594 Deep Representation Learning (Syllabus) | ||
| Spring 2023 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Fall 2022 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2022 | CS512 Advanced Machine Learning (Syllabus) | ||
| Fall 2021 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2021 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Fall 2020 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2020 | CS512 Advanced Machine Learning (Syllabus) | ||
| Fall 2019 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2019 | CS512 Advanced Machine Learning (Syllabus) | ||
| Fall 2018 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2018 | CS594 Advanced Machine Learning (Syllabus) | ||
| Fall 2017 | CS412 Introduction to Machine Learning (Syllabus) | ||
| Spring 2017 | CS411 Artificial Intelligence I (Syllabus) | ||
| Fall 2016 | CS594 Advanced Topics in Machine Learning (Syllabus) | ||
| Project of training CRFs using TAO and Torch [.PDF, .zip] | |||
| Spring 2016 | CS411 Artificial Intelligence I (Syllabus) | ||
Australian National University |
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| 2015 |
COMP2610/6261 Information Theory co-taught with Aditya Menon and Mark Reid |
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| 2014
& 2013 |
COMP4680/8650 Advanced Topics in
Statistical Machine Learning co-taught with Stephen Gould and Justin Domke |
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| My lecture notes on Bregman divergence and mirror descent are here. | |||
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| Purdue University | |||
| 2009 | Guest
lecture at STAT 598Y (Statistical Learning Theorey) My lecture notes on accelerated gradient methods are here. |
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