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Constantine Caramanis
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2020 – today
- 2024
- [c104]Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli
, Orestis Papadigenopoulos, Christos Tzamos:
Contextual Pandora's Box. AAAI 2024: 10944-10952 - [i85]Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR abs/2405.17401 (2024) - [i84]Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni:
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. CoRR abs/2406.01389 (2024) - 2023
- [c103]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT 2023: 89-160 - [c102]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML 2023: 18057-18082 - [c101]Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi:
Logarithmic Bayes Regret Bounds. NeurIPS 2023 - [c100]Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method. NeurIPS 2023 - [c99]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS 2023 - [i83]Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai:
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2302.01217 (2023) - [i82]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR abs/2302.06570 (2023) - [i81]Dhiraj Murthy, Constantine Caramanis, Koustav Rudra:
Understanding Lexical Biases when Identifying Gang-related Social Media Communications. CoRR abs/2304.11485 (2023) - [i80]Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi:
Logarithmic Bayes Regret Bounds. CoRR abs/2306.09136 (2023) - [i79]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR abs/2307.00619 (2023) - [i78]Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. CoRR abs/2310.05309 (2023) - [i77]Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis:
Prospective Side Information for Latent MDPs. CoRR abs/2310.07596 (2023) - [i76]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CoRR abs/2312.00852 (2023) - 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) - [c98]Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis:
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise. AISTATS 2022: 9356-9399 - [c97]Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury
, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis
, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia
, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
:
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c96]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT 2022: 313-355 - [c95]Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai:
Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML 2022: 1057-1077 - [c94]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML 2022: 11772-11789 - [c93]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Tractable Optimality in Episodic Latent MABs. NeurIPS 2022 - [c92]Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. NeurIPS 2022 - [c91]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) 2022: 111-112 - [c90]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 A. 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
- [c89]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. AISTATS 2021: 271-279 - [c88]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 - [c87]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. ICML 2021: 404-413 - [c86]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. NeurIPS 2021: 2253-2264 - [c85]Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits. NeurIPS 2021: 23334-23346 - [c84]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
- [c83]Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis:
High Dimensional Robust Sparse Regression. AISTATS 2020: 411-421 - [c82]Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis:
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. AISTATS 2020: 1464-1474 - [c81]Jeongyeol Kwon, Constantine Caramanis:
EM Converges for a Mixture of Many Linear Regressions. AISTATS 2020: 1727-1736 - [c80]Jeongyeol Kwon, Constantine Caramanis:
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians. COLT 2020: 2425-2487 - [c79]Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis:
Learning Mixtures of Graphs from Epidemic Cascades. ICML 2020: 4342-4352 - [c78]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 - [c77]Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis:
Robust compressed sensing using generative models. NeurIPS 2020 - [c76]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Applications of Common Entropy for Causal Inference. NeurIPS 2020 - [c75]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) - [c74]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 - [c73]Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis:
Robust Estimation of Tree Structured Gaussian Graphical Models. ICML 2019: 3292-3300 - [c72]Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis:
Primal-Dual Block Generalized Frank-Wolfe. NeurIPS 2019: 13866-13875 - [c71]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) - [c70]Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis:
Statistical Inference Using SGD. AAAI 2018: 3571-3578 - [c69]Zeina Sinno, Constantine Caramanis
, Alan C. Bovik:
Second Order Natural Scene Statistics Model of Blind Image Quality Assessment. ICASSP 2018: 1238-1242 - [c68]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
- [c67]Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar:
Minimax Gaussian Classification & Clustering. AISTATS 2017: 1-9 - [c66]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) - [c65]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 - [c64]Ye Wang, Constantine Caramanis, Michael Orshansky:
PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. DATE 2016: 1423-1428 - [c63]Ye Wang, Constantine Caramanis
, Michael Orshansky:
Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. ICCAD 2016: 114 - [c62]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. NIPS 2016: 4152-4160 - [c61]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) - [c60]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 - [c59]Xinyang Yi, Constantine Caramanis, Eric Price:
Binary Embedding: Fundamental Limits and Fast Algorithm. ICML 2015: 2162-2170 - [c58]Chris Milling, Constantine Caramanis
, Shie Mannor
, Sanjay Shakkottai:
Local detection of infections in heterogeneous networks. INFOCOM 2015: 1517-1525 - [c57]Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu:
Optimal Linear Estimation under Unknown Nonlinear Transform. NIPS 2015: 1549-1557 - [c56]Xinyang Yi, Constantine Caramanis:
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees. NIPS 2015: 1567-1575 - [c55]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) - [c54]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. COLT 2014: 560-604 - [c53]Ye Wang, Michael Orshansky, Constantine Caramanis
:
Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. DAC 2014: 164:1-164:6 - [c52]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 - [c51]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Alternating Minimization for Mixed Linear Regression. ICML 2014: 613-621 - [c50]Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis:
Finding Dense Subgraphs via Low-Rank Bilinear Optimization. ICML 2014: 1890-1898 - [c49]Dohyung Park, Constantine Caramanis, Sujay Sanghavi:
Greedy Subspace Clustering. NIPS 2014: 2753-2761 - [c48]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]Aditya Gopalan, Constantine Caramanis
, Sanjay Shakkottai:
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. 58(6): 1443-1456 (2013) - [j24]Huan Xu, Constantine Caramanis
, Shie Mannor
:
Outlier-Robust PCA: The High-Dimensional Case. IEEE Trans. Inf. Theory 59(1): 546-572 (2013) - [j23]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
:
Low-Rank Matrix Recovery From Errors and Erasures. IEEE Trans. Inf. Theory 59(7): 4324-4337 (2013) - [j22]Harish Ganapathy, Constantine Caramanis
, Lei Ying
:
Exploiting Sparse Dynamics For Bandwidth Reduction In Cooperative Sensing Systems. IEEE Trans. Signal Process. 61(14): 3671-3682 (2013) - [j21]Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis
, Jeffrey G. Andrews:
User Association for Load Balancing in Heterogeneous Cellular Networks. IEEE Trans. Wirel. Commun. 12(6): 2706-2716 (2013) - [c47]Amin Abdel Khalek, Constantine Caramanis
, Robert W. Heath Jr.
:
Video quality-maximizing resource allocation and scheduling with statistical delay guarantees. GLOBECOM 2013: 1736-1740 - [c46]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis
, Jeffrey G. Andrews:
Device-to-device modeling and analysis with a modified Matern hardcore BS location model. GLOBECOM 2013: 1825-1830 - [c45]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis
, Jeffrey G. Andrews:
On/off macrocells and load balancing in heterogeneous cellular networks. GLOBECOM 2013: 3814-3819 - [c44]Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis
, Robert W. Heath Jr.
, Alan C. Bovik
:
A dynamic system model of time-varying subjective quality of video streams over HTTP. ICASSP 2013: 3602-3606 - [c43]Yudong Chen, Constantine Caramanis:
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. ICML (1) 2013: 383-391 - [c42]Yudong Chen, Constantine Caramanis, Shie Mannor:
Robust Sparse Regression under Adversarial Corruption. ICML (3) 2013: 774-782 - [c41]Chris Milling, Constantine Caramanis
, Shie Mannor
, Sanjay Shakkottai:
Detecting epidemics using highly noisy data. MobiHoc 2013: 177-186 - [c40]Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain:
Memory Limited, Streaming PCA. NIPS 2013: 2886-2894 - [i21]Yudong Chen, Constantine Caramanis, Shie Mannor:
Robust High Dimensional Sparse Regression and Matching Pursuit. CoRR abs/1301.2725 (2013) - [i20]Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.:
Loss Visibility Optimized Real-time Video Transmission over MIMO Systems. CoRR abs/1301.3174 (2013) - [i19]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
On/Off Macrocells and Load Balancing in Heterogeneous Cellular Networks. CoRR abs/1305.5585 (2013) - [i18]Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain:
Memory Limited, Streaming PCA. CoRR abs/1307.0032 (2013) - [i17]Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
Resource Optimization in Device-to-Device Cellular Systems Using Time-Frequency Hopping. CoRR abs/1309.4062 (2013) - [i16]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. CoRR abs/1309.6545 (2013) - [i15]Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.:
Delay-Constrained Video Transmission: Quality-driven Resource Allocation and Scheduling. CoRR abs/1311.5921 (2013) - [i14]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. CoRR abs/1311.6441 (2013) - [i13]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise. CoRR abs/1312.7006 (2013) - 2012
- [j20]Huan Xu, Constantine Caramanis
, Shie Mannor
:
Optimization Under Probabilistic Envelope Constraints. Oper. Res. 60(3): 682-699 (2012) - [j19]Amin Abdel Khalek, Constantine Caramanis
, Robert W. Heath Jr.
:
A Cross-Layer Design for Perceptual Optimization Of H.264/SVC with Unequal Error Protection. IEEE J. Sel. Areas Commun. 30(7): 1157-1171 (2012) - [j18]Huan Xu, Constantine Caramanis
, Shie Mannor
:
A Distributional Interpretation of Robust Optimization. Math. Oper. Res. 37(1): 95-110 (2012) - [j17]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) - [j16]Ashish Kumar Singh, Kareem Ragab, Mario Lok, Constantine Caramanis
, Michael Orshansky:
Predictable Equation-Based Analog Optimization Based on Explicit Capture of Modeling Error Statistics. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(10): 1485-1498 (2012) - [j15]Aditya Gopalan, Constantine Caramanis
, Sanjay Shakkottai
:
On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory 58(1): 403-420 (2012) - [j14]Huan Xu, Constantine Caramanis
, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. IEEE Trans. Inf. Theory 58(5): 3047-3064 (2012) - [j13]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) - [j12]Cynthia Barnhart
, Dimitris Bertsimas, Constantine Caramanis
, Douglas Fearing:
Equitable and Efficient Coordination in Traffic Flow Management. Transp. Sci. 46(2): 262-280 (2012) - [j11]Harish Ganapathy, Siddhartha Banerjee, Nedialko B. Dimitrov, Constantine Caramanis
:
Feedback Allocation for OFDMA Systems With Slow Frequency-Domain Scheduling. IEEE Trans. Signal Process. 60(12): 6630-6640 (2012) - [c39]Amin Abdel Khalek, Constantine Caramanis
, Robert W. Heath Jr.
:
Prioritized multimode precoding for joint minimization of source-channel video distortions. ACSCC 2012: 925-929 - [c38]Chris Milling, Constantine Caramanis
, Shie Mannor
, Sanjay Shakkottai:
On identifying the causative network of an epidemic. Allerton Conference 2012: 909-914 - [c37]Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.:
Video-aware MIMO precoding with packet prioritization and unequal modulation. EUSIPCO 2012: 1905-1909 - [c36]Qiaoyang Ye, Beiyu Rong, Yudong Chen, Constantine Caramanis
, Jeffrey G. Andrews:
Towards an optimal user association in heterogeneous cellular networks. GLOBECOM 2012: 4143-4147 - [c35]Aditya Gopalan, Constantine Caramanis
, Sanjay Shakkottai:
Low-delay wireless scheduling with partial channel-state information. INFOCOM 2012: 1071-1079 - [c34]Harish Ganapathy, Constantine Caramanis
:
Queue-based sub-carrier grouping for feedback reduction in OFDMA systems. INFOCOM 2012: 1098-1106 - [c33]Amin Abdel Khalek, Constantine Caramanis
, Robert W. Heath Jr.
:
Online learning for quality-driven unequal protection of scalable video. MLSP 2012: 1-5 - [c32]Chris Milling, Constantine Caramanis
, Shie Mannor
, Sanjay Shakkottai:
Network forensics: random infection vs spreading epidemic. SIGMETRICS 2012: 223-234 - [c31]Yudong Chen, Constantine Caramanis
:
Simple algorithms for sparse linear regression with uncertain covariates. SSP 2012: 413-415 - [c30]Huan Xu, Constantine Caramanis, Shie Mannor:
Statistical Optimization in High Dimensions. AISTATS 2012: 1332-1340 - [i12]Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
User Association for Load Balancing in Heterogeneous Cellular Networks. CoRR abs/1205.2833 (2012) - [i11]Yudong Chen, Constantine Caramanis:
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results. CoRR abs/1206.0823 (2012) - [i10]Harish Ganapathy, Siddhartha Banerjee, Nedialko B. Dimitrov, Constantine Caramanis:
Feedback Allocation For OFDMA Systems With Slow Frequency-domain Scheduling. CoRR abs/1210.7539 (2012) - [i9]Harish Ganapathy, Constantine Caramanis, Lei Ying:
Exploiting Sparse Dynamics For Bandwidth Reduction In Cooperative Sensing Systems. CoRR abs/1210.7543 (2012) - 2011
- [j10]Sungho Yun, Constantine Caramanis
, Robert W. Heath Jr.
:
Distributed link adaptation for multicast traffic in MIMO-OFDM systems. Phys. Commun. 4(4): 286-295 (2011) - [j9]Dimitris Bertsimas, David B. Brown, Constantine Caramanis
:
Theory and Applications of Robust Optimization. SIAM Rev. 53(3): 464-501 (2011) - [c29]Ioannis Mitliagkas, Aditya Gopalan, Constantine Caramanis
, Sriram Vishwanath:
User rankings from comparisons: Learning permutations in high dimensions. Allerton 2011: 1143-1150 - [c28]Amin Abdel Khalek, Constantine Caramanis
, Robert W. Heath Jr.
:
Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission. GLOBECOM 2011: 1-5 - [c27]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion and Corrupted Columns. ICML 2011: 873-880 - [c26]Yi-Ting Chen, Constantine Caramanis
, Sanjay Shakkottai:
On file sharing over a wireless social network. ISIT 2011: 249-253 - [c25]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
:
Low-rank matrix recovery from errors and erasures. ISIT 2011: 2313-2317 - [i8]Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai:
On Sharing Viral Video over an Ad Hoc Wireless Network. CoRR abs/1101.5088 (2011) - [i7]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion with Corrupted Columns. CoRR abs/1102.2254 (2011) - [i6]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-rank Matrix Recovery from Errors and Erasures. CoRR abs/1104.0354 (2011) - 2010
- [j8]Dimitris Bertsimas, Constantine Caramanis
:
Finite Adaptability in Multistage Linear Optimization. IEEE Trans. Autom. Control. 55(12): 2751-2766 (2010) - [j7]Huan Xu, Constantine Caramanis
, Shie Mannor
:
Robust regression and Lasso. IEEE Trans. Inf. Theory 56(7): 3561-3574 (2010) - [j6]Robert C. Daniels, Constantine Caramanis
, Robert W. Heath Jr.
:
Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering. IEEE Trans. Veh. Technol. 59(1): 114-126 (2010) - [c24]Huan Xu, Constantine Caramanis
, Shie Mannor
:
A distributional interpretation of robust optimization. Allerton 2010: 552-556 - [c23]Harish Ganapathy, Constantine Caramanis
, Lei Ying
:
Limited feedback for cognitive radio networks using compressed sensing. Allerton 2010: 1090-1097 - [c22]Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT 2010: 490-502 - [c21]Harish Ganapathy, Constantine Caramanis
:
Dynamic Feedback Allocation Algorithms for Interference Management in MIMO Uplink. GLOBECOM 2010: 1-5 - [c20]Sungho Yun, Constantine Caramanis
:
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems. GLOBECOM 2010: 1-5 - [c19]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 - [c18]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. NIPS 2010: 2496-2504 - [i5]Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. CoRR abs/1002.4658 (2010) - [i4]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. CoRR abs/1010.4237 (2010) - [i3]Dimitris Bertsimas, David B. Brown, Constantine Caramanis:
Theory and Applications of Robust Optimization. CoRR abs/1010.5445 (2010)
2000 – 2009
- 2009
- [j5]Huan Xu, Constantine Caramanis, Shie Mannor:
Robustness and Regularization of Support Vector Machines. J. Mach. Learn. Res. 10: 1485-1510 (2009) - [c17]Harish Ganapathy, Siddhartha Banerjee, Nedialko B. Dimitrov, Constantine Caramanis
:
Optimal feedback allocation algorithms for multi-user uplink. Allerton 2009: 947-954 - [c16]Sungho Yun, Constantine Caramanis
:
Multiclass support vector machines for adaptation in MIMO-OFDM wireless systems. Allerton 2009: 1145-1152 - [c15]Huan Xu, Constantine Caramanis
, Shie Mannor
, Sungho Yun:
Risk sensitive robust support vector machines. CDC 2009: 4655-4661 - [c14]Ashish Kumar Singh, Ku He, Constantine Caramanis
, Michael Orshansky:
Mitigation of intra-array SRAM variability using adaptive voltage architecture. ICCAD 2009: 637-644 - [c13]Huan Xu, Constantine Caramanis
, Shie Mannor
:
High dimensional Principal Component Analysis with contaminated data. ITW 2009: 246-250 - 2008
- [j4]Sumohana S. Channappayya, Alan C. Bovik
, Constantine Caramanis
, Robert W. Heath Jr.
:
Design of Linear Equalizers Optimized for the Structural Similarity Index. IEEE Trans. Image Process. 17(6): 857-872 (2008) - [c12]Harish Ganapathy, Jeffrey G. Andrews, Constantine Caramanis
:
Inter-cell relay cooperation in heterogeneous cellular uplink systems. ACSCC 2008: 1443-1447 - [c11]Sungho Yun, Constantine Caramanis
:
System level optimization in wireless networks with uncertain customer arrival rates. Allerton 2008: 1022-1029 - [c10]Huan Xu, Constantine Caramanis
, Shie Mannor
:
Robust dimensionality reduction for high-dimension data. Allerton 2008: 1291-1298 - [c9]Huan Xu, Shie Mannor
, Constantine Caramanis
:
Sparse algorithms are not stable: A no-free-lunch theorem. Allerton 2008: 1299-1303 - [c8]Constantine Caramanis, Shie Mannor:
Learning in the Limit with Adversarial Disturbances. COLT 2008: 467-478 - [c7]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 - [c6]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 - [c5]Sumohana S. Channappayya, Alan C. Bovik
, Constantine Caramanis
, Robert W. Heath Jr.
:
SSIM-optimal linear image restoration. ICASSP 2008: 765-768 - [c4]Raghu Meka, Prateek Jain, Constantine Caramanis
, Inderjit S. Dhillon:
Rank minimization via online learning. ICML 2008: 656-663 - [c3]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso. NIPS 2008: 1801-1808 - [i2]Huan Xu, Shie Mannor, Constantine Caramanis:
Robustness, Risk, and Regularization in Support Vector Machines. CoRR abs/0803.3490 (2008) - [i1]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso. CoRR abs/0811.1790 (2008) - 2007
- [j3]Constantine Caramanis
, Shie Mannor
:
An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Trans. Inf. Theory 53(3): 1043-1057 (2007) - [c2]Dimitris Bertsimas, Constantine Caramanis
:
Adaptability via sampling. CDC 2007: 4717-4722 - 2006
- [b1]Constantine Caramanis:
Adaptable optimization: theory and algorithms. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006 - [j2]Dimitris Bertsimas, Constantine Caramanis
:
Bounds on linear PDEs via semidefinite optimization. Math. Program. 108(1): 135-158 (2006) - [j1]Michael Rosenblum, Constantine Caramanis, Michel X. Goemans, Vahid Tarokh:
Approximating fluid schedules in crossbar packet-switches and Banyan networks. IEEE/ACM Trans. Netw. 14(6): 1374-1387 (2006) - 2004
- [c1]Constantine Caramanis
, Shie Mannor
:
An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT 2004: 534-548
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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