Jakob Heiss (Preferred)
Jakob Michael Heiss
Jakob M Heiss
Jakob M. Heiss
Jakob Heiss
Postdoc, Statistics, University of California, Berkeley
Joined
September 2020
Names
,
,
,
Emails
****@math.ethz.ch (Confirmed)
****@yahoo.de (Confirmed)
****@berkeley.edu (Confirmed)
Personal Links
Career & Education History
Postdoc
Statistics, University of California, Berkeley (berkeley.edu)
2024 – 2026
PhD student
Mathematics, Swiss Federal Institute of Technology (ethz.ch)
2019 – 2024
Undergrad student
Mathematics, TU Wien Vienna University of Technology (tuwien.ac.at)
2011 – 2019
Advisors, Relations & Conflicts
Expertise
neural networks
, deep learning
, regularization
, Bayesian learning
Present
uncertainty quantification
Present
Bayesian Optimization
Present
Combinatorial Auctions
, Market Design
Present
Deep Learning Theory
, Inductive Bias
Present