1 citations · 1 across the 2 of their papers we have counts for
3 papers
A Framework for Time-Varying Optimization via Derivative Estimation
Matteo Marchi, Jonathan Bunton, João Pedro Silvestre +1
Optimization algorithms have a rich and fundamental relationship with ordinary differential equations given by its continuous-time limit. When the cost function varies with time --…
Joint Continuous and Discrete Model Selection via Submodularity
Jonathan Bunton, Paulo Tabuada
In model selection problems for machine learning, the desire for a well-performing model with meaningful structure is typically expressed through a regularized optimization problem…
Rapid Top-Down Synthesis of Large-Scale IoT Networks
Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof +6
Advances in optimization and constraint satisfaction techniques, together with the availability of elastic computing resources, have spurred interest in large-scale network verific…