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people:david [2021/03/13 12:58] David Peer |
people:david [2021/06/28 15:33] David Peer |
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=== Areas of Interest === | === Areas of Interest === | ||
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- | * Understanding the gap between expressivity and learnability of neural networks ([[https://arxiv.org/pdf/1905.08744.pdf|1]], [[https://arxiv.org/pdf/2011.02956.pdf|2]], [[https://preregister.science/papers_20neurips/55_paper.pdf|3]], [[https://www.sciencedirect.com/science/article/pii/S2665963821000014|4]], [[https://arxiv.org/abs/2103.04331|5]])\\ | + | My main interest is to improve state-of-the art results in machine-learning by understanding the gap between expressivity and learnability of neural networks that seems to be huge. Here is a list of the publications in this research direction where I'm first- or co-author where we used different theoretically motivated algorithms to improve SOTA: [[https://arxiv.org/abs/1905.08744|1]], [[https://arxiv.org/abs/2011.02956|2]], [[https://preregister.science/papers_20neurips/55_paper.pdf|3]], [[https://www.sciencedirect.com/science/article/pii/S2665963821000014|4]], [[https://arxiv.org/abs/2103.04331|5]], [[https://arxiv.org/abs/2102.11944|6]], [[https://arxiv.org/abs/2105.14839|7]]\\ |
- | * Topics: [[https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/|Learning Theory]], Deep Learning, Machine Learning, Natural language processing \\ | + | |
- | * Hobbies: Climbing, hiking, trumpet etc. | + | |
=== Positions === | === Positions === |