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
Room 03.09.014 and online at: https://tum-conf.zoom.us/j/66633677821 Passcode 537320
Upcoming meetings
26.06. Paper reading "Robustness and Regularization of Support Vector Machines" (Maha will present)
03.07. Paper reading: We will read main ideas of 2 papers: "Probabilistic Self-supervised Learning via Scoring Rules Minimization" and "A Probabilistic Model behind Self-Supervised Learning"
tba. Paper reading "Approximation and Gradient Descent Training with Neural Networks" (Alexandru will present)