 | 2012 |
| 39 |  | Aditya Gopalan,
Constantine Caramanis,
Sanjay Shakkottai:
Low-delay wireless scheduling with partial channel-state information.
INFOCOM 2012: 1071-1079 |
| 38 |  | Harish Ganapathy,
Constantine Caramanis:
Queue-based sub-carrier grouping for feedback reduction in OFDMA systems.
INFOCOM 2012: 1098-1106 |
| 37 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem.
IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 187-193 (2012) |
| 36 |  | Aditya Gopalan,
Constantine Caramanis,
Sanjay Shakkottai:
On Wireless Scheduling With Partial Channel-State Information.
IEEE Transactions on Information Theory 58(1): 403-420 (2012) |
| 35 |  | Huan Xu,
Constantine Caramanis,
Sujay Sanghavi:
Robust PCA via Outlier Pursuit.
IEEE Transactions on Information Theory 58(5): 3047-3064 (2012) |
| 34 |  | Sungho Yun,
Constantine Caramanis:
System-Level Optimization in Wireless Networks: Managing Interference and Uncertainty via Robust Optimization.
IEEE/ACM Trans. Netw. 20(2): 339-352 (2012) |
| 33 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Statistical Optimization in High Dimensions.
Journal of Machine Learning Research - Proceedings Track 22: 1332-1340 (2012) |
| 2011 |
| 32 |  | Amin Abdel Khalek,
Constantine Caramanis,
Robert W. Heath Jr.:
Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission.
GLOBECOM 2011: 1-5 |
| 31 |  | Yudong Chen,
Huan Xu,
Constantine Caramanis,
Sujay Sanghavi:
Robust Matrix Completion and Corrupted Columns.
ICML 2011: 873-880 |
| 30 |  | Yudong Chen,
Ali Jalali,
Sujay Sanghavi,
Constantine Caramanis:
Low-rank matrix recovery from errors and erasures.
ISIT 2011: 2313-2317 |
| 29 |  | Yi-Ting Chen,
Constantine Caramanis,
Sanjay Shakkottai:
On file sharing over a wireless social network.
ISIT 2011: 249-253 |
| 28 |  | Yi-Ting Chen,
Constantine Caramanis,
Sanjay Shakkottai:
On Sharing Viral Video over an Ad Hoc Wireless Network
CoRR abs/1101.5088: (2011) |
| 27 |  | Yudong Chen,
Huan Xu,
Constantine Caramanis,
Sujay Sanghavi:
Robust Matrix Completion with Corrupted Columns
CoRR abs/1102.2254: (2011) |
| 26 |  | Yudong Chen,
Ali Jalali,
Sujay Sanghavi,
Constantine Caramanis:
Low-rank Matrix Recovery from Errors and Erasures
CoRR abs/1104.0354: (2011) |
| 25 |  | Dimitris Bertsimas,
David B. Brown,
Constantine Caramanis:
Theory and Applications of Robust Optimization.
SIAM Review 53(3): 464-501 (2011) |
| 2010 |
| 24 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case.
COLT 2010: 490-502 |
| 23 |  | Harish Ganapathy,
Constantine Caramanis:
Dynamic Feedback Allocation Algorithms for Interference Management in MIMO Uplink.
GLOBECOM 2010: 1-5 |
| 22 |  | Sungho Yun,
Constantine Caramanis:
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems.
GLOBECOM 2010: 1-5 |
| 21 |  | Ashish Kumar Singh,
Mario Lok,
Kareem Ragab,
Constantine Caramanis,
Michael Orshansky:
An algorithm for exploiting modeling error statistics to enable robust analog optimization.
ICCAD 2010: 62-69 |
| 20 |  | Huan Xu,
Constantine Caramanis,
Sujay Sanghavi:
Robust PCA via Outlier Pursuit.
NIPS 2010: 2496-2504 |
| 19 |  | Huan Xu,
Constantine Caramanis,
Sujay Sanghavi:
Robust PCA via Outlier Pursuit
CoRR abs/1010.4237: (2010) |
| 18 |  | Dimitris Bertsimas,
David B. Brown,
Constantine Caramanis:
Theory and Applications of Robust Optimization
CoRR abs/1010.5445: (2010) |
| 17 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Robust regression and Lasso.
IEEE Transactions on Information Theory 56(7): 3561-3574 (2010) |
| 2009 |
| 16 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor,
Sungho Yun:
Risk sensitive robust support vector machines.
CDC 2009: 4655-4661 |
| 15 |  | Ashish Kumar Singh,
Ku He,
Constantine Caramanis,
Michael Orshansky:
Mitigation of intra-array SRAM variability using adaptive voltage architecture.
ICCAD 2009: 637-644 |
| 14 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Robustness and Regularization of Support Vector Machines.
Journal of Machine Learning Research 10: 1485-1510 (2009) |
| 2008 |
| 13 |  | Constantine Caramanis,
Shie Mannor:
Learning in the Limit with Adversarial Disturbances.
COLT 2008: 467-478 |
| 12 |  | Sumohana S. Channappayya,
Alan C. Bovik,
Robert W. Heath Jr.,
Constantine Caramanis:
Rate Bounds on SSIM Index of Quantized Image DCT Coefficients.
DCC 2008: 352-361 |
| 11 |  | Robert C. Daniels,
Constantine Caramanis,
Robert W. Heath Jr.:
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems.
GLOBECOM 2008: 4583-4587 |
| 10 |  | Sumohana S. Channappayya,
Alan C. Bovik,
Constantine Caramanis,
Robert W. Heath Jr.:
SSIM-optimal linear image restoration.
ICASSP 2008: 765-768 |
| 9 |  | Raghu Meka,
Prateek Jain,
Constantine Caramanis,
Inderjit S. Dhillon:
Rank minimization via online learning.
ICML 2008: 656-663 |
| 8 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Robust Regression and Lasso.
NIPS 2008: 1801-1808 |
| 7 |  | Huan Xu,
Shie Mannor,
Constantine Caramanis:
Robustness, Risk, and Regularization in Support Vector Machines
CoRR abs/0803.3490: (2008) |
| 6 |  | Huan Xu,
Constantine Caramanis,
Shie Mannor:
Robust Regression and Lasso
CoRR abs/0811.1790: (2008) |
| 5 |  | Sumohana S. Channappayya,
Alan C. Bovik,
Constantine Caramanis,
Robert W. Heath Jr.:
Design of Linear Equalizers Optimized for the Structural Similarity Index.
IEEE Transactions on Image Processing 17(6): 857-872 (2008) |
| 2007 |
| 4 |  | Constantine Caramanis,
Shie Mannor:
An Inequality for Nearly Log-Concave Distributions With Applications to Learning.
IEEE Transactions on Information Theory 53(3): 1043-1057 (2007) |
| 2006 |
| 3 |  | Michael Rosenblum,
Constantine Caramanis,
Michel X. Goemans,
Vahid Tarokh:
Approximating fluid schedules in crossbar packet-switches and Banyan networks.
IEEE/ACM Trans. Netw. 16(6): 1374-1387 (2006) |
| 2 |  | Dimitris Bertsimas,
Constantine Caramanis:
Bounds on linear PDEs via semidefinite optimization.
Math. Program. 108(1): 135-158 (2006) |
| 2004 |
| 1 |  | Constantine Caramanis,
Shie Mannor:
An Inequality for Nearly Log-Concave Distributions with Applications to Learning.
COLT 2004: 534-548 |