Strategic classification made practical
Strategic classification regards the problem of learning in settings where users can
strategically modify their features to improve outcomes. This setting applies broadly, and has …
strategically modify their features to improve outcomes. This setting applies broadly, and has …
Learning convex optimization models
A convex optimization model predicts an output from an input by solving a convex
optimization problem. The class of convex optimization models is large, and includes as …
optimization problem. The class of convex optimization models is large, and includes as …
Flexible differentiable optimization via model transformations
We introduce DiffOpt. jl, a Julia library to differentiate through the solution of optimization
problems with respect to arbitrary parameters present in the objective and/or constraints …
problems with respect to arbitrary parameters present in the objective and/or constraints …
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning
S Chen, CW Tan, X Zhai, HV Poor - arxiv preprint arxiv:2409.12964, 2024 - arxiv.org
The next-generation radio access network (RAN), known as Open RAN, is poised to feature
an AI-native interface for wireless cellular networks, including emerging satellite-terrestrial …
an AI-native interface for wireless cellular networks, including emerging satellite-terrestrial …
Single Qubit Multi-Party Transmission Using Universal Symmetric Quantum Cloning
E Pelofske - arxiv preprint arxiv:2310.04920, 2023 - arxiv.org
We consider the hypothetical quantum network case where Alice wishes to transmit one
qubit of information (specifically a pure quantum state) to $ M $ parties, where $ M $ is some …
qubit of information (specifically a pure quantum state) to $ M $ parties, where $ M $ is some …
Applications of convex optimization in naval engineering
A Ritari - 2024 - aaltodoc.aalto.fi
Convex optimization is a class of nonlinear optimization with many useful theoretical and
computational properties. The global optimum can be computed very efficiently, even for …
computational properties. The global optimum can be computed very efficiently, even for …