MLxMIT hosts a weekly machine learning tea seminar series. The MLTea talks are meant to be a series of informal ~30 minute talks from students in the machine learning community around MIT. Everyone is welcome to attend to learn about some of the cool ML research being done around here.

The time and venue for Spring 2020 seminars are:
Fridays 4:00-4:30pm in 32-G370

Spring 2020 Speaker Schedule

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Fall 2019 Speaker Schedule

SEPTEMBER 13 Rahul Singh Economics Kernel Instrumental Variable Regression SEPTEMBER 20 Abhimanyu Dubey Media Lab   Robust Cooperative Decision-Making for Heavy-Tailed Stochastic Bandits SEPTEMBER 27 Keyulu Xu CSAIL Graph Neural Networks and Abstract Reasoning OCTOBER 4 Jonathan Frankle CSAIL The Lottery Ticket Hypothesis OCTOBER 11 Sameer Desphande CSAIL Approximate Multiple Shrinkage for Clustering Regressions OCTOBER 18 Dhaval Adjodah Media Lab Symbolic Reasoning for Reinforcement Learning OCTOBER 25 Wujie Wang Materials Science Coarse-Graining Generative Models for Molecular Dynamics NOVEMBER 1 Shubhendu Trivedi CSAIL Clebsch-Gordan Networks: The Case for Fully Fourier Architectures NOVEMBER 8 Jialin Ding CSAIL Learning Multi-dimensional Indexes NOVEMBER 15 Marwa El Halabi CSAIL Minimizing Approximately Submodular Functions NOVEMBER 22 Ferran Alet CSAIL Meta-Learning, Structure and Finding the Right Search Algorithms DECEMBER 6 Wengong Jin CSAIL Learning Graph-to-Graph Translation for Molecules