02/2023:
We are organizing a Thematic Einstein Semester on “Mathematical Optimization for Machine Learning”
within the Math+ Cluster of Excellence. The semester consists of various activities throughout the semester with three workshops, a conference, and a summer school
as some of the highlights. We are looking forward to seeing you in Berlin!
Fall 2022:Francisco Criado started a faculty position at CUNEF University Madrid. Congratulations!
11/2022:
We finished our monograph on Frank-Wolfe methods a.k.a. Conditional Gradients. [arxiv][webpage][blog]
06/2022:
Symposium on Theory of Computing (STOC) Test of Time award (10 years) for “Linear vs. Semidefinite Extended Formulations: Exponential Separation and Strong Lower Bounds”, S. Fiorini, S. Massar, S. Pokutta, H.R. Tiwary, R. de Wolf from 2012.
06/2022:
6th RIKEN-IMI-ISM-ZIB-MODAL-NHR Workshop on Advances in Classical and Quantum Algorithms for Optimization and Machine Learning in Japan. [link]
05/2020:
Our Special Priority Program (SPP) proposal ‘Theoretical Foundations of Deep Learning’ was funded by DFG. With an overall budget of EUR 8.5m, this program sets out to significantly boost our fundamental understanding of Deep Learning. The coordination team is Gitta Kutyniok (speaker), Martin Burger, Matthias Hein, Sebastian Pokutta, and Ingo Steinwart.
DFG Press Release (German), TUB Press Release (German)SPP Homepage
06/2016:
Official launch of Machine Learning @ GT Interdisciplinary Research Center.
03/2016:
David M. McKenney Family Early Career Professor appointment
07/2015:
Saving Lives @ Birth 2015 Seed Grant Award Nominee “Low-cost Technology to Assess the Risk of Obstructed Labor in Ethiopia” together with B. Dixon and R. Gleason
04/2015:
ISYE/George Family Foundation Seed Grant in Predictive Health “Non-invasive Pregnancy Diagnostics for Predicting Obstructed Labor” together with B. Dixon and R. Gleason
01/2015:
CAREER Award, National Science Foundation, 2015
12/2024:
(technical) “Exploring Mixed-Integer Convex Optimization with Conditional Gradients: Foundations and Applications”. Talk at MIP International Workshop (Mumbai, India). [slides]
12/2024:
(technical) “AI x Algorithms x Applications”. Talk at NUS School of Computing Seminar (Singapore).
06/2024:
(general) “Cargo-Kult trifft auf große Sprachmodelle: Entmystifizierung von KI?”. Talk at Lange Nacht der Wissenschaften (Berlin, Germany).
03/2024:
(general) “The Cargo Cult Meets Large Language Models: Demystifying AI Sentiments?”. Talk at Hong Kong Analytics Community Meeting (Hong Kong, China).
03/2024:
(technical) “Alternating Linear Minimization: Revisiting von Neumann’s alternating projections”. Talk at CUHK-Shenzhen Seminar (Shenzhen, China). [slides]
03/2024:
(technical) “Conditional Gradients in Machine Learning”. Plenary at International Workshop on Image Processing and Machine Learning (Beijing, China). [slides]
02/2024:
(technical) “Conditional Gradients in Machine Learning”. Talk at NUS Math Seminar (Singapore). [slides]
07/2023:
(technical) “Alternating Linear Minimization: Revisiting von Neumann’s alternating projections”. Talk at Jon-Shmuel Halfway to Twelfty (Paris, France). [slides]
06/2023:
(general) “Möglichkeiten und Grenzen künstlicher Intelligenz”. Talk at Lange Nacht der Wissenschaften (Berlin, Germany).
04/2022:
(technical) “Conditional Gradients in Machine Learning and Optimization”. Talk at IST ELLIS Seminar Series (Klosterneuburg, Austria). [slides]