1 citations · 1 across the 11 of their papers we have counts for
5 papers · 1 filter
Gray-Box Nonlinear Feedback Optimization
Zhiyu He, Saverio Bolognani, Michael Muehlebach +1
Feedback optimization enables autonomous optimality seeking of a dynamical system through its closed-loop interconnection with iterative optimization algorithms. Among various iter…
Robust Feedback Optimization with Model Uncertainty: A Regularization Approach
Winnie Chan, Zhiyu He, Keith Moffat +3
Feedback optimization optimizes the steady state of a dynamical system by implementing optimization iterations in closed loop with the plant. It relies on online measurements and l…
Primal Methods for Variational Inequality Problems with Functional Constraints
Liang Zhang, Niao He, Michael Muehlebach
Variational inequality problems are recognized for their broad applications across various fields including machine learning and operations research. First-order methods have emerg…
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
Zhiyu He, Saverio Bolognani, Florian Dörfler +1
Distribution shifts have long been regarded as troublesome external forces that a decision-maker should either counteract or conform to. An intriguing feedback phenomenon termed de…
Towards a Systems Theory of Algorithms
Florian Dörfler, Zhiyu He, Giuseppe Belgioioso +3
Traditionally, numerical algorithms are seen as isolated pieces of code confined to an {\em in silico} existence. However, this perspective is not appropriate for many modern compu…