rssalessio/reading-list
This is a collection of interesting papers that I have read so far or want to read. Note that the list is not up-to-date. Topics: reinforcement learning, deep learning, mathematics, statistics, bandit algorithms, optimization.
This is a curated collection of academic papers and books focused on advanced machine learning topics like deep learning, reinforcement learning, optimization, and statistics. It provides a structured reading list to help researchers, academics, or graduate students deepen their understanding of specific concepts within these fields. The input is a topic of interest, and the output is a list of relevant academic resources.
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Use this if you are a researcher, academic, or graduate student looking for a curated list of foundational and advanced papers on machine learning sub-fields to guide your studies or research.
Not ideal if you are looking for an up-to-date, comprehensive bibliography for a highly specific or niche research area, or if you need practical guides or code implementations.
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Apr 03, 2025
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