Schedule for OAMLS
| Time (linked timezone converter) |
Speaker | Title |
|---|---|---|
| 8 December, 2022 | ||
| 9:00 AM | Leslie Kaelbling, Massachusetts Institute of Technology |
Foundations of Reinforcement Learning |
| 1:00 PM | Arthur Gretton, University College London |
Kernel methods for comparing distributions |
| 9 December, 2022 | ||
| 9:00 AM | Pin-Yu Chen, IBM Research |
Trustworthy ML |
| 1:00 PM | Masaaki Imaizumi, University of Tokyo |
Theory of Deep Learning and Overparameterization |
| 10 December, 2022 | ||
| 9:00 AM | Swabha Swayamdipta, USC Viterbi School of Engineering |
Data-centric Machine Learning |
| 1:00 PM | Chiranjib Bhattcharyya, India Institute of Science, Bangalore |
Learning without labels: A topic modeling perspective |
| 15 December, 2022 | ||
| 9:00 AM | CV Jawahar, International Institute of Information Technology, Hyderabad |
Machine Learning for Computer Vision |
| 1:00 PM | Petar Velickovic, Deep Mind |
Graph Neural Networks: Geometric, Structural & Algorithmic |
| 16 December, 2022 | ||
| 1:00 PM | Kun Zhang, Carnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence |
Methodological advances in causal representation learning and causal discovery |