181 citations · 220 across the 14 of their papers we have counts for
5 papers · 1 filter
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Piecewise Polynomial Regression of Tame Functions via Integer Programming
Gilles Bareilles, Johannes Aspman, Jiri Nemecek +1
Tame functions are a class of nonsmooth, nonconvex functions, which feature in a wide range of applications: functions encountered in the training of deep neural networks with all…
Joint Problems in Learning Multiple Dynamical Systems
Mengjia Niu, Xiaoyu He, Petr Ryšavý +2
Clustering of time series is a well-studied problem, with applications ranging from quantitative, personalized models of metabolism obtained from metabolite concentrations to state…
Group-blind optimal transport to group parity and its constrained variants
Quan Zhou, Jakub Marecek
Fairness holds a pivotal role in the realm of machine learning, particularly when it comes to addressing groups categorised by protected attributes, e.g., gender, race. Prevailing…
Taming Binarized Neural Networks and Mixed-Integer Programs
Johannes Aspman, Georgios Korpas, Jakub Marecek
There has been a great deal of recent interest in binarized neural networks, especially because of their explainability. At the same time, automatic differentiation algorithms such…