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2020 – today
- 2022
[j44]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 27:1-27:30 (2022)- [c88]Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis:
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise. AISTATS 2022: 9356-9399 - [c87]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT 2022: 313-355 - [c86]Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai:
Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML 2022: 1057-1077 - [c85]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML 2022: 11772-11789 - [c84]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) 2022: 111-112 - [c83]Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. SODA 2022: 1298-1325 - [i75]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR abs/2201.12700 (2022) - [i74]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR abs/2202.05791 (2022) - [i73]Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos:
Contextual Pandora's Box. CoRR abs/2205.13114 (2022) - [i72]Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. CoRR abs/2205.14790 (2022) - [i71]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR abs/2210.02594 (2022) - [i70]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Tractable Optimality in Episodic Latent MABs. CoRR abs/2210.03528 (2022) - 2021
- [c82]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. AISTATS 2021: 271-279 - [c81]Jeongyeol Kwon, Nhat Ho, Constantine Caramanis:
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. AISTATS 2021: 1405-1413 - [c80]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. ICML 2021: 404-413 - [c79]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. NeurIPS 2021: 2253-2264 - [c78]Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits. NeurIPS 2021: 23334-23346 - [c77]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS 2021: 24523-24534 - [i69]Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Bandits. CoRR abs/2102.00321 (2021) - [i68]Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho, Constantine Caramanis:
On the computational and statistical complexity of over-parameterized matrix sensing. CoRR abs/2102.02756 (2021) - [i67]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR abs/2102.04939 (2021) - [i66]Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis:
Robust Estimation of Tree Structured Markov Random Fields. CoRR abs/2102.08554 (2021) - [i65]Constantine Caramanis, Matthew Faw, Orestis Papadigenopoulos, Emmanouil Pountourakis:
Single-Sample Prophet Inequalities Revisited. CoRR abs/2103.13089 (2021) - [i64]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. CoRR abs/2105.10625 (2021) - [i63]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. CoRR abs/2110.03743 (2021) - [i62]Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. CoRR abs/2111.03174 (2021) - 2020
- [c76]Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis:
High Dimensional Robust Sparse Regression. AISTATS 2020: 411-421 - [c75]Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis:
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. AISTATS 2020: 1464-1474 - [c74]Jeongyeol Kwon, Constantine Caramanis:
EM Converges for a Mixture of Many Linear Regressions. AISTATS 2020: 1727-1736 - [c73]Jeongyeol Kwon, Constantine Caramanis:
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians. COLT 2020: 2425-2487 - [c72]Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis:
Learning Mixtures of Graphs from Epidemic Cascades. ICML 2020: 4342-4352 - [c71]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS 2020 - [c70]Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis:
Robust compressed sensing using generative models. NeurIPS 2020 - [c69]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Applications of Common Entropy for Causal Inference. NeurIPS 2020 - [c68]Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari:
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking. NeurIPS 2020 - [i61]Jeongyeol Kwon, Constantine Caramanis:
EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians. CoRR abs/2002.00329 (2020) - [i60]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. CoRR abs/2003.03426 (2020) - [i59]Jeongyeol Kwon, Nhat Ho, Constantine Caramanis:
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. CoRR abs/2006.02601 (2020) - [i58]Ashish Katiyar, Vatsal Shah, Constantine Caramanis:
Robust Estimation of Tree Structured Ising Models. CoRR abs/2006.05601 (2020) - [i57]Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis:
Robust compressed sensing of generative models. CoRR abs/2006.09461 (2020) - [i56]Jiacheng Zhuo, Liu Liu, Constantine Caramanis:
Robust Structured Statistical Estimation via Conditional Gradient Type Methods. CoRR abs/2007.03572 (2020) - [i55]Jessica Hoffmann, Matt Jordan, Constantine Caramanis:
Quarantines as a Targeted Immunization Strategy. CoRR abs/2008.08262 (2020)
2010 – 2019
- 2019
- [j43]Jessica Hoffmann, Constantine Caramanis:
Learning Graphs from Noisy Epidemic Cascades. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 40:1-40:34 (2019) - [c67]Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis:
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. COLT 2019: 2055-2110 - [c66]Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis:
Robust Estimation of Tree Structured Gaussian Graphical Models. ICML 2019: 3292-3300 - [c65]Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis:
Primal-Dual Block Generalized Frank-Wolfe. NeurIPS 2019: 13866-13875 - [c64]Jessica H. Hoffmann, Constantine Caramanis
:
Learning Graphs from Noisy Epidemic Cascades. SIGMETRICS (Abstracts) 2019: 3-4 - [i54]Liu Liu, Tianyang Li, Constantine Caramanis:
High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding. CoRR abs/1901.08237 (2019) - [i53]Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis:
Robust estimation of tree structured Gaussian Graphical Model. CoRR abs/1901.08770 (2019) - [i52]Jessica Hoffmann, Constantine Caramanis:
Learning Graphs from Noisy Epidemic Cascades. CoRR abs/1903.02650 (2019) - [i51]Jeongyeol Kwon, Constantine Caramanis:
EM Converges for a Mixture of Many Linear Regressions. CoRR abs/1905.12106 (2019) - [i50]Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis:
Primal-Dual Block Frank-Wolfe. CoRR abs/1906.02436 (2019) - [i49]Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis:
Disentangling Mixtures of Epidemics on Graphs. CoRR abs/1906.06057 (2019) - [i48]Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu:
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. CoRR abs/1907.06257 (2019) - [i47]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR abs/1907.10154 (2019) - [i46]Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis:
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. CoRR abs/1910.07703 (2019) - 2018
- [j42]Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. Proc. ACM Meas. Anal. Comput. Syst. 2(2): 31:1-31:33 (2018) - [j41]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably. SIAM J. Imaging Sci. 11(4): 2165-2204 (2018) - [j40]Zeina Sinno, Constantine Caramanis, Alan C. Bovik:
Towards a Closed Form Second-Order Natural Scene Statistics Model. IEEE Trans. Image Process. 27(7): 3194-3209 (2018) - [j39]Yudong Chen, Xinyang Yi, Constantine Caramanis:
Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. IEEE Trans. Inf. Theory 64(3): 1738-1766 (2018) - [j38]Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. 5(4): 313-325 (2018) - [c63]Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis:
Statistical Inference Using SGD. AAAI 2018: 3571-3578 - [c62]Zeina Sinno, Constantine Caramanis, Alan C. Bovik:
Second Order Natural Scene Statistics Model of Blind Image Quality Assessment. ICASSP 2018: 1238-1242 - [c61]Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. SIGMETRICS (Abstracts) 2018: 11-13 - [i45]Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari:
The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. CoRR abs/1803.00883 (2018) - [i44]Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis:
Approximate Newton-based statistical inference using only stochastic gradients. CoRR abs/1805.08920 (2018) - [i43]Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis:
High Dimensional Robust Sparse Regression. CoRR abs/1805.11643 (2018) - [i42]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Entropic Latent Variable Discovery. CoRR abs/1807.10399 (2018) - [i41]Jeongyeol Kwon, Constantine Caramanis:
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression. CoRR abs/1810.05752 (2018) - 2017
- [c60]Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar:
Minimax Gaussian Classification & Clustering. AISTATS 2017: 1-9 - [c59]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. AISTATS 2017: 65-74 - [i40]Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis:
Statistical inference using SGD. CoRR abs/1705.07477 (2017) - [i39]Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari:
Exploiting Latent Attack Semantics for Intelligent Malware Detection. CoRR abs/1708.01864 (2017) - [i38]Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. CoRR abs/1711.00167 (2017) - [i37]Anastasios Kyrillidis, Amir Kalev, Dohyung Park, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi:
Provable quantum state tomography via non-convex methods. CoRR abs/1711.02524 (2017) - [i36]Guy Tennenholtz, Constantine Caramanis, Shie Mannor:
The Stochastic Firefighter Problem. CoRR abs/1711.08237 (2017) - 2016
- [j37]Huan Xu, Constantine Caramanis, Shie Mannor:
Statistical Optimization in High Dimensions. Oper. Res. 64(4): 958-979 (2016) - [j36]Qiaoyang Ye, Ozgun Yilmaz Bursalioglu, Haralabos C. Papadopoulos, Constantine Caramanis, Jeffrey G. Andrews:
User Association and Interference Management in Massive MIMO HetNets. IEEE Trans. Commun. 64(5): 2049-2065 (2016) - [j35]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory 62(1): 503-526 (2016) - [c58]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach. Allerton 2016: 439-446 - [c57]Ye Wang, Constantine Caramanis, Michael Orshansky:
PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. DATE 2016: 1423-1428 - [c56]Ye Wang, Constantine Caramanis, Michael Orshansky:
Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. ICCAD 2016: 114 - [c55]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. NIPS 2016: 4152-4160 - [c54]Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu:
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. NIPS 2016: 4475-4483 - [i35]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. CoRR abs/1605.07784 (2016) - [i34]Dohyung Park, Anastasios Kyrillidis, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi:
Provable non-convex projected gradient descent for a class of constrained matrix optimization problems. CoRR abs/1606.01316 (2016) - [i33]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably. CoRR abs/1606.03168 (2016) - [i32]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization. CoRR abs/1608.05749 (2016) - [i31]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. CoRR abs/1609.03240 (2016) - 2015
- [j34]Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.:
Delay-Constrained Video Transmission: Quality-Driven Resource Allocation and Scheduling. IEEE J. Sel. Top. Signal Process. 9(1): 60-75 (2015) - [j33]Ioannis Mitliagkas, Michael Borokhovich, Alexandros G. Dimakis, Constantine Caramanis:
FrogWild! - Fast PageRank Approximations on Graph Engines. Proc. VLDB Endow. 8(8): 874-885 (2015) - [j32]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. 80(4): 293-340 (2015) - [j31]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
Distributed Resource Allocation in Device-to-Device Enhanced Cellular Networks. IEEE Trans. Commun. 63(2): 441-454 (2015) - [j30]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory 61(6): 3100-3120 (2015) - [j29]Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.:
Loss Visibility Optimized Real-Time Video Transmission Over MIMO Systems. IEEE Trans. Multim. 17(10): 1802-1817 (2015) - [c53]Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis:
Novel power grid reduction method based on L1 regularization. DAC 2015: 93:1-93:6 - [c52]Xinyang Yi, Constantine Caramanis, Eric Price:
Binary Embedding: Fundamental Limits and Fast Algorithm. ICML 2015: 2162-2170 - [c51]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Local detection of infections in heterogeneous networks. INFOCOM 2015: 1517-1525 - [c50]Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu:
Optimal Linear Estimation under Unknown Nonlinear Transform. NIPS 2015: 1549-1557 - [c49]Xinyang Yi, Constantine Caramanis:
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees. NIPS 2015: 1567-1575 - [c48]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda:
Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS 2015: 441-442 - [i30]Ioannis Mitliagkas, Michael Borokhovich, Alexandros G. Dimakis, Constantine Caramanis:
FrogWild! - Fast PageRank Approximations on Graph Engines. CoRR abs/1502.04281 (2015) - [i29]Xinyang Yi, Constantine Caramanis, Eric Price:
Binary Embedding: Fundamental Limits and Fast Algorithm. CoRR abs/1502.05746 (2015) - [i28]Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu:
Optimal linear estimation under unknown nonlinear transform. CoRR abs/1505.03257 (2015) - [i27]Qiaoyang Ye, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos, Constantine Caramanis, Jeffrey G. Andrews:
User Association and Interference Management in Massive MIMO HetNets. CoRR abs/1509.07594 (2015) - [i26]Xinyang Yi, Constantine Caramanis:
Regularized EM Algorithms: A Unified Framework and Provable Statistical Guarantees. CoRR abs/1511.08551 (2015) - 2014
- [j28]Constantine Caramanis, Nedialko B. Dimitrov, David P. Morton:
Efficient Algorithms for Budget-Constrained Markov Decision Processes. IEEE Trans. Autom. Control. 59(10): 2813-2817 (2014) - [j27]Ashish Kumar Singh, Ku He, Constantine Caramanis, Michael Orshansky:
Modeling and Optimization Techniques for Yield-Aware SRAM Post-Silicon Tuning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(8): 1159-1167 (2014) - [j26]Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis, Robert W. Heath Jr., Alan C. Bovik:
Modeling the Time - Varying Subjective Quality of HTTP Video Streams With Rate Adaptations. IEEE Trans. Image Process. 23(5): 2206-2221 (2014) - [c47]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. COLT 2014: 560-604 - [c46]Ye Wang, Michael Orshansky, Constantine Caramanis:
Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. DAC 2014: 164:1-164:6 - [c45]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
A tractable model for optimizing device-to-device communications in downlink cellular networks. ICC 2014: 2039-2044 - [c44]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Alternating Minimization for Mixed Linear Regression. ICML 2014: 613-621 - [c43]Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis:
Finding Dense Subgraphs via Low-Rank Bilinear Optimization. ICML 2014: 1890-1898 - [c42]Dohyung Park, Constantine Caramanis, Sujay Sanghavi:
Greedy Subspace Clustering. NIPS 2014: 2753-2761 - [c41]Greg J. Freeman, Constantine Caramanis, Alan C. Bovik:
Targeted L1L2: Naturalness-constrained image recovery from random projections. SSIAI 2014: 97-100 - [i25]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Localized epidemic detection in networks with overwhelming noise. CoRR abs/1402.1263 (2014) - [i24]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
Distributed Resource Allocation in Device-to-Device Enhanced Cellular Networks. CoRR abs/1405.4945 (2014) - [i23]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR abs/1405.6307 (2014) - [i22]Dohyung Park, Constantine Caramanis, Sujay Sanghavi:
Greedy Subspace Clustering. CoRR abs/1410.8864 (2014) - 2013
- [j25]