| Theory and applications of robust optimization D Bertsimas, DB Brown, C Caramanis SIAM review 53 (3), 464-501, 2011 | 3469 | 2011 |
| User association for load balancing in heterogeneous cellular networks Q Ye, B Rong, Y Chen, M Al-Shalash, C Caramanis, JG Andrews IEEE Transactions on Wireless Communications 12 (6), 2706-2716, 2013 | 1528 | 2013 |
| Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi Advances in neural information processing systems 23, 2010 | 934 | 2010 |
| Robustness and regularization of support vector machines. H Xu, C Caramanis, S Mannor Journal of machine learning research 10 (7), 2009 | 659 | 2009 |
| Robust regression and Lasso H Xu, C Caramanis, S Mannor Information Theory, IEEE Transactions on 56 (7), 3561-3574, 2010 | 427 | 2010 |
| Fast algorithms for robust PCA via gradient descent X Yi, D Park, Y Chen, C Caramanis Advances in neural information processing systems 29, 2016 | 346 | 2016 |
| Sparse algorithms are not stable: A no-free-lunch theorem H Xu, C Caramanis, S Mannor IEEE transactions on pattern analysis and machine intelligence 34 (1), 187-193, 2011 | 290 | 2011 |
| Finite adaptability in multistage linear optimization D Bertsimas, C Caramanis IEEE Transactions on Automatic Control 55 (12), 2751-2766, 2010 | 285 | 2010 |
| Outlier-Robust PCA: The High-Dimensional Case H Xu, C Caramanis, S Mannor IEEE Transactions on Information Theory, 1-1, 2012 | 243* | 2012 |
| Low-rank matrix recovery from errors and erasures Y Chen, A Jalali, S Sanghavi, C Caramanis IEEE Transactions on Information Theory 59 (7), 4324-4337, 2013 | 230 | 2013 |
| Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach D Park, A Kyrillidis, C Carmanis, S Sanghavi Artificial Intelligence and Statistics, 65-74, 2017 | 215 | 2017 |
| Robust sparse regression under adversarial corruption Y Chen, C Caramanis, S Mannor International conference on machine learning, 774-782, 2013 | 212 | 2013 |
| Memory limited, streaming PCA I Mitliagkas, C Caramanis, P Jain Advances in neural information processing systems 26, 2013 | 207 | 2013 |
| Alternating minimization for mixed linear regression X Yi, C Caramanis, S Sanghavi International Conference on Machine Learning, 613-621, 2014 | 186 | 2014 |
| Matrix completion with column manipulation: Near-optimal sample-robustness-rank tradeoffs Y Chen, H Xu, C Caramanis, S Sanghavi IEEE Transactions on Information Theory 62 (1), 503-526, 2015 | 185* | 2015 |
| Rate bounds on SSIM index of quantized images SS Channappayya, AC Bovik, RW Heath IEEE Transactions on Image Processing 17 (9), 1624-1639, 2008 | 178 | 2008 |
| Solving linear inverse problems provably via posterior sampling with latent diffusion models L Rout, N Raoof, G Daras, C Caramanis, A Dimakis, S Shakkottai Advances in Neural Information Processing Systems 36, 49960-49990, 2023 | 146 | 2023 |
| Modeling the time—Varying subjective quality of HTTP video streams with rate adaptations C Chen, LK Choi, G De Veciana, C Caramanis, RW Heath, AC Bovik IEEE Transactions on Image Processing 23 (5), 2206-2221, 2014 | 145 | 2014 |
| Adaptation in convolutionally coded MIMO-OFDM wireless systems through supervised learning and SNR ordering RC Daniels, CM Caramanis, RW Heath IEEE Transactions on vehicular Technology 59 (1), 114-126, 2009 | 145 | 2009 |
| Distributed resource allocation in device-to-device enhanced cellular networks Q Ye, M Al-Shalash, C Caramanis, JG Andrews IEEE Transactions on Communications 63 (2), 441-454, 2014 | 142 | 2014 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
