Spatial compressive sensing for MIMO radar M Rossi, A Haimovich, Y Eldar IEEE Transaction on Signal Processing 62 (2), 419-430, 2013 | 310 | 2013 |
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 | 52 | 2012 |
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 | 21 | 2013 |
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 | 20 | 2011 |
Compressive Sensing with Unknown Parameters M Rossi, AM Haimovich, YC Eldar Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR …, 2012 | 16 | 2012 |
Chacha for online automl Q Wu, C Wang, J Langford, P Mineiro, M Rossi International Conference on Machine Learning, 11263-11273, 2021 | 7 | 2021 |
Adaptive rewarding for content personalization S Gupta, L Wang, A Gupta, M Rossi, JC Barker US Patent 11,367,120, 2022 | 6 | 2022 |
Multi-branch matching pursuit with applications to MIMO radar M Rossi, AM Haimovich, YC Eldar arXiv preprint arXiv:1312.5765, 2013 | 6 | 2013 |
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 | 6 | 2011 |
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 | 4 | 2008 |
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 |