Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...
The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...
Abstract: Signal temporal logic (STL) is a powerful formalism for specifying various temporal properties in dynamical systems. However, existing methods, such as mixed-integer programming and ...
Abstract: Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp.
The advantages and limitations of quantum computing over classic computing have become clearer once again. PhD candidate Joran van Apeldoorn shows that a specific type of optimization problem can be ...
Course materials for Optimization for Data Science at Industrial University of Ho Chi Minh City (IUH), adapted and modified from the open-source project "Convex Optimization for All". This course ...
├── index.html # Main landing page ├── css/ │ └── style.css # Responsive CSS styles ├── topics/ │ └── convexity.html # Understanding convexity page ├── images/ # Placeholder for future diagrams and ...
Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th ...
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