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Towards a Systems Theory of Algorithms

Towards a Systems Theory of Algorithms

25 January 2024
Florian Dorfler
Zhiyu He
Giuseppe Belgioioso
S. Bolognani
John Lygeros
Michael Muehlebach
    AI4CE
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Papers citing "Towards a Systems Theory of Algorithms"

9 / 9 papers shown
Title
Controlling Participation in Federated Learning with Feedback
Controlling Participation in Federated Learning with Feedback
Michael Cummins
Güner Dilsad Er
Michael Muehlebach
FedML
96
0
0
28 Nov 2024
Towards a Theory of Control Architecture: A quantitative framework for
  layered multi-rate control
Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control
Nikolai Matni
Aaron D. Ames
John C. Doyle
AI4CE
15
11
0
26 Jan 2024
Performative Prediction: Past and Future
Performative Prediction: Past and Future
Moritz Hardt
Celestine Mendler-Dünner
57
23
0
25 Oct 2023
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep
  Recommendation Models
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
Kabir Nagrecha
Lingyi Liu
P. Delgado
Prasanna Padmanabhan
OffRL
AI4CE
58
5
0
13 Aug 2023
A Classification of Feedback Loops and Their Relation to Biases in
  Automated Decision-Making Systems
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
55
23
0
10 May 2023
Stability and Robustness of Distributed Suboptimal Model Predictive
  Control
Stability and Robustness of Distributed Suboptimal Model Predictive Control
Giuseppe Belgioioso
Dominic Liao-McPherson
Mathias Hudoba de Badyn
Nicolas Pelzmann
John Lygeros
Florian Dorfler
6
3
0
14 Nov 2022
An optimal control perspective on diffusion-based generative modeling
An optimal control perspective on diffusion-based generative modeling
Julius Berner
Lorenz Richter
Karen Ullrich
DiffM
82
87
0
02 Nov 2022
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic
  Perspectives
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives
Michael Muehlebach
Michael I. Jordan
13
64
0
28 Feb 2020
Theoretical guarantees for sampling and inference in generative models
  with latent diffusions
Theoretical guarantees for sampling and inference in generative models with latent diffusions
Belinda Tzen
Maxim Raginsky
DiffM
49
99
0
05 Mar 2019
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