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Talks and Workshops
Talk
17:00
Optimization Aspects that Improve IID and OOD Generalization in Deep Learning
- Devansh Arpit (Salesforce)
Talk
17:00
Selective Forgetting and Mixed Privacy in Deep Networks
- Aditya Golatkar (UCLA)
Talk
14:15
The geometry of geometries: matroid theory, old and new
- Federico Ardila
Talk
15:15
The master loop equation for lattice YM via the Langevin dynamic
- Scott A. Smith (Chinese Academy of Sciences)
Talk
15:00
Lyapunov exponents in random dynamical systems and how to find and use them for bifurcation problems
- Maximilian Engel (FU Berlin)
Talk
10:00
How to write a grant proposal
- Paul Breiding (University of Osnabrück + MPI MiS, Leipzig)
Talk
17:00
Deep Learning through the Lens of Data
- Gintare Karolina Dziugaite (Google Brain)
Talk
17:00
Optimization Algorithms for Training Over-Parameterized Models
- Mark Schmidt (University of British Columbia)
Talk
17:00
Convergence of Stochastic Gradient Descent for analytic target functions
- Sebastian Kassing (University of Bielefeld)