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Kimon Drakopoulos
Kimon Drakopoulos
USC Marshall School of Business
Zweryfikowany adres z marshall.usc.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
An efficient curing policy for epidemics on graphs
K Drakopoulos, A Ozdaglar, J Tsitsiklis
53rd IEEE Conference on Decision and Control, 4447-4454, 2014
1142014
Optimal signaling of content accuracy: Engagement vs. misinformation
O Candogan, K Drakopoulos
Operations Research 68 (2), 497-515, 2020
1062020
Efficient and targeted COVID-19 border testing via reinforcement learning
H Bastani, K Drakopoulos, V Gupta, I Vlachogiannis, ...
Nature 599 (7883), 108-113, 2021
972021
When Is a Network Epidemic Hard to Eliminate?
K Drakopoulos, A Ozdaglar, JN Tsitsiklis
Mathematics of Operations Research, 2016
532016
Persuading customers to buy early: The value of personalized information provisioning
K Drakopoulos, S Jain, R Randhawa
Management Science 67 (2), 828-853, 2021
522021
On learning with finite memory
K Drakopoulos, A Ozdaglar, JN Tsitsiklis
IEEE Transactions on Information Theory 59 (10), 6859-6872, 2013
502013
Estimating social network structure and propagation dynamics for an infectious disease
L Kim, M Abramson, K Drakopoulos, S Kolitz, A Ozdaglar
Social Computing, Behavioral-Cultural Modeling and Prediction: 7th …, 2014
252014
Disclosing information in strategic experimentation
K Bimpikis, K Drakopoulos, S Ehsani
Stanford University, Graduate School of Business, 2018
212018
Why perfect tests may not be worth waiting for: Information as a commodity
K Drakopoulos, RS Randhawa
Management Science 67 (11), 6678-6693, 2021
202021
Information inundation on platforms and implications
G Allon, K Drakopoulos, V Manshadi
Proceedings of the 2019 ACM Conference on Economics and Computation, 555-556, 2019
172019
Innovations for shape analysis
M Breuß, A Bruckstein, PA Maragos
Springer, 2013
132013
Network effects in contagion processes: Identification and control
K Drakopoulos, F Zheng
Columbia Business School Research Paper, 2017
112017
A lower bound on the performance of dynamic curing policies for epidemics on graphs
K Drakopoulos, A Ozdaglar, JN Tsitsiklis
2015 54th IEEE Conference on Decision and Control (CDC), 3560-3567, 2015
102015
Active contours on graphs: Multiscale morphology and graphcuts
K Drakopoulos, P Maragos
IEEE Journal of Selected Topics in Signal Processing 6 (7), 780-794, 2012
102012
Providing data samples for free
K Drakopoulos, A Makhdoumi
Management Science 69 (6), 3536-3560, 2023
72023
Interpretable operations research for high-stakes decisions: Designing the greek covid-19 testing system
H Bastani, K Drakopoulos, V Gupta, J Vlachogiannis, ...
INFORMS Journal on Applied Analytics 52 (5), 398-411, 2022
72022
Optimal signaling of content accuracy: Engagement vs
O Candogan, K Drakopoulos
misinformation. Working paper, 2017
42017
Theoretical analysis of active contours on graphs
C Sakaridis, K Drakopoulos, P Maragos
SIAM Journal on Imaging Sciences 10 (3), 1475-1510, 2017
42017
Optimal Signaling of Content Accuracy: Engagement vs. Misinformation.(2017)
O Candogan, K Drakopoulos
URL https://ssrn. com/abstract 3051275, 2017
32017
A lower bound on the performance of dynamic curing policies for epidemics on graphs. 978 (2015), 3560–3567
K Drakopoulos, A Ozdaglar, JN Tsitsiklis
arXiv preprint arXiv:1510.06055, 2015
32015
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