Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Raginsky, Maxim
122  Ergebnisse:
Personensuche X
?
1

Biological Autonomy:

Raginsky, Maxim
Biological Theory.  18 (2023)  4 - p. 303-308 , 2023
Link: https://doi.org/10.1007/..
 
?
2

Majorizing Measures, Codes, and Information:

, In: 2023 IEEE International Symposium on Information Theory (ISIT),
Chu, Yifeng ; Raginsky, Maxim - p. 660-665 , 2023
Link: https://doi.org/10.1109/..
 
?
3

A Constructive Approach to Function Realization by Neural S..:

, In: 2023 62nd IEEE Conference on Decision and Control (CDC),
Veeravalli, Tanya ; Raginsky, Maxim - p. 6364-6369 , 2023
Link: https://doi.org/10.1109/..
 
?
4

Variational Principles for Mirror Descent and Mirror Langev..:

Tzen, Belinda ; Raj, Anant ; Raginsky, Maxim.
IEEE Control Systems Letters.  7 (2023)  - p. 1542-1547 , 2023
Link: https://doi.org/10.1109/..
 
?
5

Partially Observed Discrete-Time Risk-Sensitive Mean Field ..:

Saldi, Naci ; Başar, Tamer ; Raginsky, Maxim
Dynamic Games and Applications.  13 (2022)  3 - p. 929-960 , 2022
Link: https://doi.org/10.1007/..
 
?
6

Robustness to incorrect models and data-driven learning in ..:

Kara, Ali Devran ; Raginsky, Maxim ; Yüksel, Serdar
Automatica.  139 (2022)  - p. 110179 , 2022
Link: https://doi.org/10.1016/..
 
?
7

Minimum Excess Risk in Bayesian Learning:

Xu, Aolin ; Raginsky, Maxim
IEEE Transactions on Information Theory.  68 (2022)  12 - p. 7935-7955 , 2022
Link: https://doi.org/10.1109/..
 
?
8

Fitting an immersed submanifold to data via Sussmann's orbi..:

, In: 2022 IEEE 61st Conference on Decision and Control (CDC),
Hanson, Joshua ; Raginsky, Maxim - p. 5323-5328 , 2022
Link: https://doi.org/10.1109/..
 
?
9

Neural Ordinary Differential Equation Models of Circuits: C..:

Xiong, Jie ; Yang, Alan ; Raginsky, Maxim.
IEEE Transactions on Microwave Theory and Techniques.  70 (2022)  11 - p. 4869-4884 , 2022
Link: https://doi.org/10.1109/..
 
?
10

Neural Networks for Transient Modeling of Circuits : Invite..:

, In: 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD),
Xiong, Jie ; Yang, Alan S. ; Raginsky, Maxim. - p. 1-7 , 2021
Link: https://doi.org/10.1109/..
 
?
11

EE-Grad: Exploration and Exploitation for Cost-Efficient Mi..:

, In: 2021 55th Asilomar Conference on Signals, Systems, and Computers,
Donmez, Mehmet A. ; Ludwig, Jeff ; Raginsky, Maxim. - p. 490-497 , 2021
Link: https://doi.org/10.1109/..
 
?
12

Cost-Reliability Tradeoffs in Fusing Unreliable Computation..:

Donmez, Mehmet A. ; Raginsky, Maxim ; Singer, Andrew C..
IEEE Open Journal of Signal Processing.  1 (2020)  - p. 77-89 , 2020
Link: https://doi.org/10.1109/..
 
?
13

Robustness to Incorrect Models in Average-Cost Optimal Stoc..:

, In: 2019 IEEE 58th Conference on Decision and Control (CDC),
Kara, Ali Devran ; Raginsky, Maxim ; Yuksel, Serdar - p. 7970-7975 , 2019
Link: https://doi.org/10.1109/..
 
?
14

Partially-Observed Discrete-Time Risk-Sensitive Mean-Field ..:

, In: 2019 IEEE 58th Conference on Decision and Control (CDC),
Saldi, Naci ; Basar, Tamer ; Raginsky, Maxim - p. 317-322 , 2019
Link: https://doi.org/10.1109/..
 
?
15

Learning Finite-Dimensional Coding Schemes with Nonlinear R..:

Lee, Jaeho ; Raginsky, Maxim
SIAM Journal on Mathematics of Data Science.  1 (2019)  3 - p. 617-642 , 2019
Link: https://doi.org/10.1137/..
 
1-15