Our research group in the department of Mathematics and Computer Science at the University of Basel (Switzerland) is looking for several PhD candidates and one post-doc who have a theoretical background in optimization and machine learning or practical experience in the field of reasoning.

Universität Basel: Post-doc position in the field of Optimization and Deep Learning Theory

The Optimization of Machine Learning Systems Group (Prof. A. Lucchi) at the Department of Mathematics and Computer Science at the University of Basel is looking for one post-doctorate to work in the a...

jobs.unibas.ch

Insightful pair of blog posts by @stein.ke on #privacy amplification by subsampling: instead of running your privacy-preserving algo on the full dataset, run it on a random subset. Better!(?) Why, and what the limitations? differentialprivacy.org/subsampling/ differentialprivacy.org/subsampling-...

Privacy Amplification by Subsampling

Privacy Amplification by Subsampling is an important property of differential privacy. It is key to making many algorithms efficient – particularly in machine learning applications. Thus a lot of wor...

differentialprivacy.org

Today @NeurIPSConf 2024 at 4.30pm: Loss Landscape Characterization of Neural Networks without Over-Parametrization. West Ballroom A-D #6008 We propose a novel class of functions that characterize the loss landscape of deep models without requiring over-parametrization. arxiv.org/pdf/2410.12455

Ever wondered why walking around museums is weirdly tiring? At normal speed our legs act like pendulums, swinging forward from the hip & saving us a huge amount of energy. In "museum shuffle" our muscles must do ALL the work of constant readjustment. So cake in the cafe is scientifically justified 🥳

Lots of snow in Switzerland this week-end! Even our usually reliable train system was caught by surprise.