The Machine Learning Reading Group is a reading group for discussing theory-oriented machine learning research papers. We meet roughly every two weeks on Wednesdays at 4:30pm, alternating between advanced papers (marked by 🔥) and papers at the level of advanced undergrads/first-year-grad students.
For any given meeting, the idea is to try to read and understand the paper in advance; it's recommended to note down questions while reading. During the meeting, the plan is to discuss the core ideas in the paper and work through everyone's questions.
Due to summer travel, we are now on hiatus until September
| Summer 2025 | |||
| date | lead | paper | |
| May 28 | The nonstochastic multiarmed bandit problem | ||
| June 11 | Quan |
Adam: A Method for Stochastic Optimization
On the Convergence of Adam and Beyond |
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