Jun
19
Giovanni Soldà : On statistical learning of graphs
Theory Lab, Computational Foundry
In the first part of this talk, I aim to give an introduction to two frameworks that describe when a family of functions can be considered to be learnable, namely PAC and online learnability, and discuss the relationship between them. In the second part, we will apply these frameworks to study the graphs such that the family of their isomorphic copies (with some constraints to be made precise) are learnable.
This is joint work with Vittorio Cipriani, Valentino Delle Rose, and Luca San Mauro.
Jun
25
End of Year & Ulrich Berger’s Retirement Celebration
A celebration in honor of Ulrich Berger’s retirement and to mark the end of the academic year. For full details on the program and the talk abstracts, click here.