Recent advances in theoretical machine learning
This is a weekly meeting / reading group of the TFAI group, where we discuss new papers and occasionally have invited talks.
Everyone in TUM (and beyond) is welcome to join. Just come to the venue at the specified time. Please introduce yourself if you are joining for the first time. For best experience, read the paper before the meeting.
Time and place
Wednesdays 10:30-12:00
Most meeting take place only in-person in Room 03.11.058
Occasionally (specified below), online participation is possible via Zoom [link ; Passcode: 221241]
Upcoming meetings
09.07. Paper reading: Nonlinear Meta-learning Can Guarantee Faster Rates (Max will present)
16.07. Paper reading: Learning to Extrapolate: A Transductive Approach (Han will present)
18.07 at 10am. Master thesis presentation by Theresa Wasserer: “PAC-Bayesian Risk Certificates for Non-Contrastive Learning”
TBA. Paper reading: Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models