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Marco Rossi
Marco Rossi
Principal Data Scientist, Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Spatial compressive sensing for MIMO radar
M Rossi, A Haimovich, Y Eldar
IEEE Transaction on Signal Processing 62 (2), 419-430, 2013
3102013
Spatial Compressive Sensing in MIMO Radar with Random Arrays
M Rossi, AM Haimovich, YC Eldar
Conference on Information Sciences and Systems (CISS) 2012, Princeton, NJ …, 2012
522012
Conditions for target recovery in spatial compressive sensing for MIMO radar
M Rossi, AM Haimovich, YC Eldar
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
212013
Non-convex utility maximization in Gaussian MISO broadcast and interference channels
M Rossi, AM Tulino, O Simeone, AM Haimovich
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2011
202011
Compressive Sensing with Unknown Parameters
M Rossi, AM Haimovich, YC Eldar
Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR …, 2012
162012
Chacha for online automl
Q Wu, C Wang, J Langford, P Mineiro, M Rossi
International Conference on Machine Learning, 11263-11273, 2021
72021
Adaptive rewarding for content personalization
S Gupta, L Wang, A Gupta, M Rossi, JC Barker
US Patent 11,367,120, 2022
62022
Multi-branch matching pursuit with applications to MIMO radar
M Rossi, AM Haimovich, YC Eldar
arXiv preprint arXiv:1312.5765, 2013
62013
Global Methods for Compressive Sensing in MIMO Radar with Distributed Sensors
M Rossi, AM Haimovich, YC Eldar
Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR …, 2011
62011
Convex optimization strategies for precoding of broadcast channels
M Rossi, S Sorrentino, U Spagnolini, L Moretti
Smart Antennas, 2008. WSA 2008. International ITG Workshop on, 42-47, 2008
42008
Evaluation and adaptive sampling of agent configurations
M Rossi
US Patent App. 17/852,757, 2024
2024
Automated generation of agent configurations for reinforcement learning
M Rossi
US Patent App. 17/566,888, 2023
2023
System and method for automatic hyperparameter selection for online learning
C Wang, JC Langford, Q Wu, PS Mineiro, M Rossi
US Patent App. 17/308,000, 2022
2022
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