Constantine Caramanis

254 papers A* 50A 13B 13Misc 3Journal 141Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnCoder: Anchored Code Generation via Discrete Diffusion Models. CoRR Anton Xue, Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2026	J	`jnl`	EntRGi: Entropy Aware Reward Guidance for Diffusion Language Models. CoRR Atula Tejaswi, Litu Rout, Constantine Caramanis, Sanjay Shakkottai, Sujay Sanghavi
2026	J	`jnl`	Linear Regression with Unknown Truncation Beyond Gaussian Features. CoRR Alexandros Kouridakis, Anay Mehrotra, Alkis Kalavasis, Constantine Caramanis
2026	J	`jnl`	Succeeding at Scale: Automated Multi-Retriever Fusion and Query-Side Adaptation for Multi-Tenant Search. CoRR Prateek Jain, Shabari S. Nair, Ritesh Goru, Prakhar Agarwal, Ajay Yadav, Yoga Sri Varshan Varadharajan, Constantine Caramanis
2025	J	`jnl`	Anchored Diffusion Language Model. CoRR Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2025	J	`jnl`	Asymptotically-Optimal Gaussian Bandits with Side Observations. CoRR Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai
2025	A*	`conf`	Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. ICLR Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis
2025	A*	`conf`	On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. ICML Matthew Faw, Constantine Caramanis, Jessica Hoffmann
2025	J	`jnl`	On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. CoRR Matthew Faw, Constantine Caramanis, Jessica Hoffmann
2025	A*	`conf`	RB-Modulation: Training-Free Stylization using Reference-Based Modulation. ICLR Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2025	A*	`conf`	Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. ICLR Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2025	J	`jnl`	Test-Time Anchoring for Discrete Diffusion Posterior Sampling. CoRR Litu Rout, Andreas Lugmayr, Yasamin Jafarian, Srivatsan Varadharajan, Constantine Caramanis, Sanjay Shakkottai, Ira Kemelmacher-Shlizerman
2024	A*	`conf`	Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CVPR Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2024	A*	`conf`	Contextual Pandora's Box. AAAI Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos
2024	J	`jnl`	Global Optimality of the EM Algorithm for Mixtures of Two-Component Linear Regressions. IEEE Trans. Inf. Theory Jeongyeol Kwon, Wei Qian, Yudong Chen, Constantine Caramanis, Damek Davis, Nhat Ho
2024	J	`jnl`	On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing. J. Mach. Learn. Res. Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho, Constantine Caramanis
2024	A*	`conf`	Optimization Can Learn Johnson Lindenstrauss Embeddings. NeurIPS Nikos Tsikouras, Constantine Caramanis, Christos Tzamos
2024	J	`jnl`	Optimization Can Learn Johnson Lindenstrauss Embeddings. CoRR Nikos Tsikouras, Constantine Caramanis, Christos Tzamos
2024	A*	`conf`	Prospective Side Information for Latent MDPs. ICML Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
2024	J	`jnl`	RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2024	A*	`conf`	RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. NeurIPS Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
2024	J	`jnl`	RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. CoRR Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
2024	J	`jnl`	Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. CoRR Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2023	J	`jnl`	A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai
2023	J	`jnl`	Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CoRR Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2023	A*	`conf`	Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2023	J	`jnl`	Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2023	A*	`conf`	Logarithmic Bayes Regret Bounds. NeurIPS Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
2023	J	`jnl`	Logarithmic Bayes Regret Bounds. CoRR Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
2023	A*	`conf`	Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method. NeurIPS Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
2023	J	`jnl`	Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. CoRR Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
2023	J	`jnl`	Prospective Side Information for Latent MDPs. CoRR Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
2023	A*	`conf`	Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2023	A*	`conf`	Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai
2023	J	`jnl`	Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai
2023	J	`jnl`	Understanding Lexical Biases when Identifying Gang-related Social Media Communications. CoRR Dhiraj Murthy, Constantine Caramanis, Koustav Rudra
2022	A*	`conf`	Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai
2022	J	`jnl`	Contextual Pandora's Box. CoRR Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos
2022	A*	`conf`	Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	J	`jnl`	Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	—	`conf`	Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	J	`jnl`	Learning To Maximize Welfare with a Reusable Resource. Proc. ACM Meas. Anal. Comput. Syst. Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 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
2022	A*	`conf`	Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. NeurIPS Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	J	`jnl`	Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. CoRR Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	A	`conf`	Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise. AISTATS Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis
2022	J	`jnl`	Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	A*	`conf`	Single-Sample Prophet Inequalities via Greedy-Ordered Selection. SODA Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser
2022	A*	`conf`	The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward
2022	J	`jnl`	The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward
2022	A*	`conf`	Tractable Optimality in Episodic Latent MABs. NeurIPS Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	J	`jnl`	Tractable Optimality in Episodic Latent MABs. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	A*	`conf`	Combinatorial Blocking Bandits with Stochastic Delays. ICML Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai
2021	J	`jnl`	Combinatorial Blocking Bandits with Stochastic Delays. CoRR Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai
2021	A	`conf`	Contextual Blocking Bandits. AISTATS Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2021	A	`conf`	On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. AISTATS Jeongyeol Kwon, Nhat Ho, Constantine Caramanis
2021	J	`jnl`	On the computational and statistical complexity of over-parameterized matrix sensing. CoRR Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho, Constantine Caramanis
2021	A*	`conf`	RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	Recurrent Submodular Welfare and Matroid Blocking Bandits. CoRR Orestis Papadigenopoulos, Constantine Caramanis
2021	A*	`conf`	Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits. NeurIPS Orestis Papadigenopoulos, Constantine Caramanis
2021	A*	`conf`	Reinforcement Learning in Reward-Mixing MDPs. NeurIPS Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	Reinforcement Learning in Reward-Mixing MDPs. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	Robust Estimation of Tree Structured Markov Random Fields. CoRR Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis
2021	J	`jnl`	Single-Sample Prophet Inequalities Revisited. CoRR Constantine Caramanis, Matthew Faw, Orestis Papadigenopoulos, Emmanouil Pountourakis
2021	J	`jnl`	Single-Sample Prophet Inequalities via Greedy-Ordered Selection. CoRR Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser
2020	A*	`conf`	Applications of Common Entropy for Causal Inference. NeurIPS Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
2020	A	`conf`	Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. AISTATS Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis
2020	J	`jnl`	Contextual Blocking Bandits. CoRR Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2020	J	`jnl`	EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians. CoRR Jeongyeol Kwon, Constantine Caramanis
2020	A	`conf`	EM Converges for a Mixture of Many Linear Regressions. AISTATS Jeongyeol Kwon, Constantine Caramanis
2020	A	`conf`	High Dimensional Robust Sparse Regression. AISTATS Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis
2020	A*	`conf`	Learning Mixtures of Graphs from Epidemic Cascades. ICML Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
2020	A*	`conf`	Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
2020	J	`jnl`	On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. CoRR Jeongyeol Kwon, Nhat Ho, Constantine Caramanis
2020	J	`jnl`	Quarantines as a Targeted Immunization Strategy. CoRR Jessica Hoffmann, Matt Jordan, Constantine Caramanis
2020	J	`jnl`	Robust Estimation of Tree Structured Ising Models. CoRR Ashish Katiyar, Vatsal Shah, Constantine Caramanis
2020	J	`jnl`	Robust Structured Statistical Estimation via Conditional Gradient Type Methods. CoRR Jiacheng Zhuo, Liu Liu, Constantine Caramanis
2020	J	`jnl`	Robust compressed sensing of generative models. CoRR Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis
2020	A*	`conf`	Robust compressed sensing using generative models. NeurIPS Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis
2020	A*	`conf`	Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking. NeurIPS Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari
2020	A*	`conf`	The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians. COLT Jeongyeol Kwon, Constantine Caramanis
2019	J	`jnl`	Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. CoRR Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis
2019	J	`jnl`	Disentangling Mixtures of Epidemics on Graphs. CoRR Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
2019	J	`jnl`	EM Converges for a Mixture of Many Linear Regressions. CoRR Jeongyeol Kwon, Constantine Caramanis
2019	A*	`conf`	Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. COLT Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis
2019	J	`jnl`	High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding. CoRR Liu Liu, Tianyang Li, Constantine Caramanis
2019	—	`conf`	Learning Graphs from Noisy Epidemic Cascades. SIGMETRICS (Abstracts) Jessica H. Hoffmann, Constantine Caramanis
2019	J	`jnl`	Learning Graphs from Noisy Epidemic Cascades. CoRR Jessica Hoffmann, Constantine Caramanis
2019	J	`jnl`	Learning Graphs from Noisy Epidemic Cascades. Proc. ACM Meas. Anal. Comput. Syst. Jessica Hoffmann, Constantine Caramanis
2019	J	`jnl`	Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
2019	J	`jnl`	More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. CoRR Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
2019	J	`jnl`	Primal-Dual Block Frank-Wolfe. CoRR Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis
2019	A*	`conf`	Primal-Dual Block Generalized Frank-Wolfe. NeurIPS Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis
2019	A*	`conf`	Robust Estimation of Tree Structured Gaussian Graphical Models. ICML Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
2019	J	`jnl`	Robust estimation of tree structured Gaussian Graphical Model. CoRR Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
2018	J	`jnl`	Approximate Newton-based statistical inference using only stochastic gradients. CoRR Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis
2018	J	`jnl`	Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. IEEE Trans. Inf. Theory Yudong Chen, Xinyang Yi, Constantine Caramanis
2018	J	`jnl`	Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2018	J	`jnl`	Entropic Latent Variable Discovery. CoRR Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
2018	J	`jnl`	Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably. SIAM J. Imaging Sci. Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2018	J	`jnl`	Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression. CoRR Jeongyeol Kwon, Constantine Caramanis
2018	J	`jnl`	High Dimensional Robust Sparse Regression. CoRR Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis
2018	Misc	`conf`	Second Order Natural Scene Statistics Model of Blind Image Quality Assessment. ICASSP Zeina Sinno, Constantine Caramanis, Alan C. Bovik
2018	A*	`conf`	Statistical Inference Using SGD. AAAI Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis
2018	—	`conf`	The Cost of Uncertainty in Curing Epidemics. SIGMETRICS (Abstracts) Jessica Hoffmann, Constantine Caramanis
2018	J	`jnl`	The Cost of Uncertainty in Curing Epidemics. Proc. ACM Meas. Anal. Comput. Syst. Jessica Hoffmann, Constantine Caramanis
2018	J	`jnl`	The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. CoRR Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari
2018	J	`jnl`	Towards a Closed Form Second-Order Natural Scene Statistics Model. IEEE Trans. Image Process. Zeina Sinno, Constantine Caramanis, Alan C. Bovik
2017	J	`jnl`	Exploiting Latent Attack Semantics for Intelligent Malware Detection. CoRR Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari
2017	A	`conf`	Minimax Gaussian Classification & Clustering. AISTATS Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar
2017	A	`conf`	Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. AISTATS Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2017	J	`jnl`	Provable quantum state tomography via non-convex methods. CoRR Anastasios Kyrillidis, Amir Kalev, Dohyung Park, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi
2017	J	`jnl`	Statistical inference using SGD. CoRR Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis
2017	J	`jnl`	The Cost of Uncertainty in Curing Epidemics. CoRR Jessica Hoffmann, Constantine Caramanis
2017	J	`jnl`	The Stochastic Firefighter Problem. CoRR Guy Tennenholtz, Constantine Caramanis, Shie Mannor
2016	A	`conf`	Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. ICCAD Ye Wang, Constantine Caramanis, Michael Orshansky
2016	—	`conf`	Fast Algorithms for Robust PCA via Gradient Descent. NIPS Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis
2016	J	`jnl`	Fast Algorithms for Robust PCA via Gradient Descent. CoRR Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis
2016	J	`jnl`	Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably. CoRR Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2016	—	`conf`	Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach. Allerton Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2016	—	`conf`	More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. NIPS Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
2016	J	`jnl`	Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. CoRR Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2016	A	`conf`	PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. DATE Ye Wang, Constantine Caramanis, Michael Orshansky
2016	J	`jnl`	Provable non-convex projected gradient descent for a class of constrained matrix optimization problems. CoRR Dohyung Park, Anastasios Kyrillidis, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization. CoRR Xinyang Yi, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Statistical Optimization in High Dimensions. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2016	J	`jnl`	User Association and Interference Management in Massive MIMO HetNets. IEEE Trans. Commun. Qiaoyang Ye, Ozgun Yilmaz Bursalioglu, Haralabos C. Papadopoulos, Constantine Caramanis, Jeffrey G. Andrews
2015	A*	`conf`	Binary Embedding: Fundamental Limits and Fast Algorithm. ICML Xinyang Yi, Constantine Caramanis, Eric Price
2015	J	`jnl`	Binary Embedding: Fundamental Limits and Fast Algorithm. CoRR Xinyang Yi, Constantine Caramanis, Eric Price
2015	J	`jnl`	Delay-Constrained Video Transmission: Quality-Driven Resource Allocation and Scheduling. IEEE J. Sel. Top. Signal Process. Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2015	J	`jnl`	Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	J	`jnl`	Distributed Resource Allocation in Device-to-Device Enhanced Cellular Networks. IEEE Trans. Commun. Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2015	J	`jnl`	FrogWild! - Fast PageRank Approximations on Graph Engines. CoRR Ioannis Mitliagkas, Michael Borokhovich, Alexandros G. Dimakis, Constantine Caramanis
2015	J	`jnl`	FrogWild! - Fast PageRank Approximations on Graph Engines. Proc. VLDB Endow. Ioannis Mitliagkas, Michael Borokhovich, Alexandros G. Dimakis, Constantine Caramanis
2015	A*	`conf`	Local detection of infections in heterogeneous networks. INFOCOM Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	A*	`conf`	Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda
2015	J	`jnl`	Loss Visibility Optimized Real-Time Video Transmission Over MIMO Systems. IEEE Trans. Multim. Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2015	A*	`conf`	Novel power grid reduction method based on L1 regularization. DAC Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis
2015	—	`conf`	Optimal Linear Estimation under Unknown Nonlinear Transform. NIPS Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu
2015	J	`jnl`	Optimal linear estimation under unknown nonlinear transform. CoRR Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu
2015	J	`jnl`	Regularized EM Algorithms: A Unified Framework and Provable Statistical Guarantees. CoRR Xinyang Yi, Constantine Caramanis
2015	—	`conf`	Regularized EM Algorithms: A Unified Framework and Statistical Guarantees. NIPS Xinyang Yi, Constantine Caramanis
2015	J	`jnl`	User Association and Interference Management in Massive MIMO HetNets. CoRR Qiaoyang Ye, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos, Constantine Caramanis, Jeffrey G. Andrews
2015	J	`jnl`	Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2014	A*	`conf`	A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. COLT Yudong Chen, Xinyang Yi, Constantine Caramanis
2014	—	`conf`	A tractable model for optimizing device-to-device communications in downlink cellular networks. ICC Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2014	A*	`conf`	Alternating Minimization for Mixed Linear Regression. ICML Xinyang Yi, Constantine Caramanis, Sujay Sanghavi
2014	J	`jnl`	Distributed Resource Allocation in Device-to-Device Enhanced Cellular Networks. CoRR Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2014	J	`jnl`	Efficient Algorithms for Budget-Constrained Markov Decision Processes. IEEE Trans. Autom. Control. Constantine Caramanis, Nedialko B. Dimitrov, David P. Morton
2014	A*	`conf`	Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. DAC Ye Wang, Michael Orshansky, Constantine Caramanis
2014	A*	`conf`	Finding Dense Subgraphs via Low-Rank Bilinear Optimization. ICML Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis
2014	—	`conf`	Greedy Subspace Clustering. NIPS Dohyung Park, Constantine Caramanis, Sujay Sanghavi
2014	J	`jnl`	Greedy Subspace Clustering. CoRR Dohyung Park, Constantine Caramanis, Sujay Sanghavi
2014	J	`jnl`	Localized epidemic detection in networks with overwhelming noise. CoRR Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2014	J	`jnl`	Modeling and Optimization Techniques for Yield-Aware SRAM Post-Silicon Tuning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ashish Kumar Singh, Ku He, Constantine Caramanis, Michael Orshansky
2014	J	`jnl`	Modeling the Time - Varying Subjective Quality of HTTP Video Streams With Rate Adaptations. IEEE Trans. Image Process. Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis, Robert W. Heath Jr., Alan C. Bovik
2014	—	`conf`	Targeted L1L2: Naturalness-constrained image recovery from random projections. SSIAI Greg J. Freeman, Constantine Caramanis, Alan C. Bovik
2014	J	`jnl`	Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2013	J	`jnl`	A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise. CoRR Yudong Chen, Xinyang Yi, Constantine Caramanis
2013	Misc	`conf`	A dynamic system model of time-varying subjective quality of video streams over HTTP. ICASSP Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis, Robert W. Heath Jr., Alan C. Bovik
2013	J	`jnl`	Delay-Constrained Video Transmission: Quality-driven Resource Allocation and Scheduling. CoRR Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2013	B	`conf`	Detecting epidemics using highly noisy data. MobiHoc Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2013	B	`conf`	Device-to-device modeling and analysis with a modified Matern hardcore BS location model. GLOBECOM Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2013	J	`jnl`	Distinguishing Infections on Different Graph Topologies. CoRR Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2013	J	`jnl`	Exploiting Sparse Dynamics For Bandwidth Reduction In Cooperative Sensing Systems. IEEE Trans. Signal Process. Harish Ganapathy, Constantine Caramanis, Lei Ying
2013	J	`jnl`	Loss Visibility Optimized Real-time Video Transmission over MIMO Systems CoRR Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2013	J	`jnl`	Low-Rank Matrix Recovery From Errors and Erasures. IEEE Trans. Inf. Theory Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
2013	—	`conf`	Memory Limited, Streaming PCA. NIPS Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain
2013	J	`jnl`	Memory Limited, Streaming PCA. CoRR Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain
2013	J	`jnl`	Modeling the Time-varying Subjective Quality of HTTP Video Streams with Rate Adaptations. CoRR Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis, Robert W. Heath Jr., Alan C. Bovik
2013	—	`conf`	Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. ICML (1) Yudong Chen, Constantine Caramanis
2013	J	`jnl`	On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2013	J	`jnl`	On/Off Macrocells and Load Balancing in Heterogeneous Cellular Networks CoRR Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2013	B	`conf`	On/off macrocells and load balancing in heterogeneous cellular networks. GLOBECOM Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2013	J	`jnl`	Outlier-Robust PCA: The High-Dimensional Case. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Shie Mannor
2013	J	`jnl`	Resource Optimization in Device-to-Device Cellular Systems Using Time-Frequency Hopping. CoRR Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2013	J	`jnl`	Robust High Dimensional Sparse Regression and Matching Pursuit CoRR Yudong Chen, Constantine Caramanis, Shie Mannor
2013	—	`conf`	Robust Sparse Regression under Adversarial Corruption. ICML (3) Yudong Chen, Constantine Caramanis, Shie Mannor
2013	J	`jnl`	User Association for Load Balancing in Heterogeneous Cellular Networks. IEEE Trans. Wirel. Commun. Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2013	B	`conf`	Video quality-maximizing resource allocation and scheduling with statistical delay guarantees. GLOBECOM Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2012	J	`jnl`	A Cross-Layer Design for Perceptual Optimization Of H.264/SVC with Unequal Error Protection. IEEE J. Sel. Areas Commun. Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2012	J	`jnl`	A Distributional Interpretation of Robust Optimization. Math. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2012	J	`jnl`	Equitable and Efficient Coordination in Traffic Flow Management. Transp. Sci. Cynthia Barnhart, Dimitris Bertsimas, Constantine Caramanis, Douglas Fearing
2012	J	`jnl`	Exploiting Sparse Dynamics For Bandwidth Reduction In Cooperative Sensing Systems CoRR Harish Ganapathy, Constantine Caramanis, Lei Ying
2012	J	`jnl`	Feedback Allocation For OFDMA Systems With Slow Frequency-domain Scheduling CoRR Harish Ganapathy, Siddhartha Banerjee, Nedialko B. Dimitrov, Constantine Caramanis
2012	J	`jnl`	Feedback Allocation for OFDMA Systems With Slow Frequency-Domain Scheduling. IEEE Trans. Signal Process. Harish Ganapathy, Siddhartha Banerjee, Nedialko B. Dimitrov, Constantine Caramanis
2012	A*	`conf`	Low-delay wireless scheduling with partial channel-state information. INFOCOM Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2012	A*	`conf`	Network forensics: random infection vs spreading epidemic. SIGMETRICS Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	J	`jnl`	On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2012	—	`conf`	On identifying the causative network of an epidemic. Allerton Conference Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	—	`conf`	Online learning for quality-driven unequal protection of scalable video. MLSP Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2012	J	`jnl`	Optimization Under Probabilistic Envelope Constraints. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2012	J	`jnl`	Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results CoRR Yudong Chen, Constantine Caramanis
2012	J	`jnl`	Predictable Equation-Based Analog Optimization Based on Explicit Capture of Modeling Error Statistics. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ashish Kumar Singh, Kareem Ragab, Mario Lok, Constantine Caramanis, Michael Orshansky
2012	—	`conf`	Prioritized multimode precoding for joint minimization of source-channel video distortions. ACSCC Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2012	A*	`conf`	Queue-based sub-carrier grouping for feedback reduction in OFDMA systems. INFOCOM Harish Ganapathy, Constantine Caramanis
2012	J	`jnl`	Robust PCA via Outlier Pursuit. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Sujay Sanghavi
2012	—	`conf`	Simple algorithms for sparse linear regression with uncertain covariates. SSP Yudong Chen, Constantine Caramanis
2012	J	`jnl`	Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. IEEE Trans. Pattern Anal. Mach. Intell. Huan Xu, Constantine Caramanis, Shie Mannor
2012	A	`conf`	Statistical Optimization in High Dimensions. AISTATS Huan Xu, Constantine Caramanis, Shie Mannor
2012	J	`jnl`	System-Level Optimization in Wireless Networks: Managing Interference and Uncertainty via Robust Optimization. IEEE/ACM Trans. Netw. Sungho Yun, Constantine Caramanis
2012	B	`conf`	Towards an optimal user association in heterogeneous cellular networks. GLOBECOM Qiaoyang Ye, Beiyu Rong, Yudong Chen, Constantine Caramanis, Jeffrey G. Andrews
2012	J	`jnl`	User Association for Load Balancing in Heterogeneous Cellular Networks CoRR Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2012	—	`conf`	Video-aware MIMO precoding with packet prioritization and unequal modulation. EUSIPCO Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2011	J	`jnl`	Distributed link adaptation for multicast traffic in MIMO-OFDM systems. Phys. Commun. Sungho Yun, Constantine Caramanis, Robert W. Heath Jr.
2011	B	`conf`	Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission. GLOBECOM Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr.
2011	J	`jnl`	Low-rank Matrix Recovery from Errors and Erasures CoRR Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
2011	B	`conf`	Low-rank matrix recovery from errors and erasures. ISIT Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
2011	J	`jnl`	On Sharing Viral Video over an Ad Hoc Wireless Network CoRR Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai
2011	B	`conf`	On file sharing over a wireless social network. ISIT Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai
2011	A*	`conf`	Robust Matrix Completion and Corrupted Columns. ICML Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2011	J	`jnl`	Robust Matrix Completion with Corrupted Columns CoRR Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2011	J	`jnl`	Theory and Applications of Robust Optimization. SIAM Rev. Dimitris Bertsimas, David B. Brown, Constantine Caramanis
2011	—	`conf`	User rankings from comparisons: Learning permutations in high dimensions. Allerton Ioannis Mitliagkas, Aditya Gopalan, Constantine Caramanis, Sriram Vishwanath
2010	—	`conf`	A distributional interpretation of robust optimization. Allerton Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering. IEEE Trans. Veh. Technol. Robert C. Daniels, Constantine Caramanis, Robert W. Heath Jr.
2010	A	`conf`	An algorithm for exploiting modeling error statistics to enable robust analog optimization. ICCAD Ashish Kumar Singh, Mario Lok, Kareem Ragab, Constantine Caramanis, Michael Orshansky
2010	B	`conf`	Dynamic Feedback Allocation Algorithms for Interference Management in MIMO Uplink. GLOBECOM Harish Ganapathy, Constantine Caramanis
2010	J	`jnl`	Finite Adaptability in Multistage Linear Optimization. IEEE Trans. Autom. Control. Dimitris Bertsimas, Constantine Caramanis
2010	—	`conf`	Limited feedback for cognitive radio networks using compressed sensing. Allerton Harish Ganapathy, Constantine Caramanis, Lei Ying
2010	A*	`conf`	Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Principal Component Analysis with Contaminated Data: The High Dimensional Case. CoRR Huan Xu, Constantine Caramanis, Shie Mannor
2010	B	`conf`	Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems. GLOBECOM Sungho Yun, Constantine Caramanis
2010	J	`jnl`	Robust PCA via Outlier Pursuit CoRR Huan Xu, Constantine Caramanis, Sujay Sanghavi
2010	—	`conf`	Robust PCA via Outlier Pursuit. NIPS Huan Xu, Constantine Caramanis, Sujay Sanghavi
2010	J	`jnl`	Robust regression and Lasso. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Theory and Applications of Robust Optimization CoRR Dimitris Bertsimas, David B. Brown, Constantine Caramanis
2009	B	`conf`	High dimensional Principal Component Analysis with contaminated data. ITW Huan Xu, Constantine Caramanis, Shie Mannor
2009	A	`conf`	Mitigation of intra-array SRAM variability using adaptive voltage architecture. ICCAD Ashish Kumar Singh, Ku He, Constantine Caramanis, Michael Orshansky
2009	—	`conf`	Multiclass support vector machines for adaptation in MIMO-OFDM wireless systems. Allerton Sungho Yun, Constantine Caramanis
2009	—	`conf`	Optimal feedback allocation algorithms for multi-user uplink. Allerton Harish Ganapathy, Siddhartha Banerjee, Nedialko B. Dimitrov, Constantine Caramanis
2009	—	`conf`	Risk sensitive robust support vector machines. CDC Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun
2009	J	`jnl`	Robustness and Regularization of Support Vector Machines. J. Mach. Learn. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2008	B	`conf`	A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems. GLOBECOM Robert C. Daniels, Constantine Caramanis, Robert W. Heath Jr.
2008	J	`jnl`	Design of Linear Equalizers Optimized for the Structural Similarity Index. IEEE Trans. Image Process. Sumohana S. Channappayya, Alan C. Bovik, Constantine Caramanis, Robert W. Heath Jr.
2008	—	`conf`	Inter-cell relay cooperation in heterogeneous cellular uplink systems. ACSCC Harish Ganapathy, Jeffrey G. Andrews, Constantine Caramanis
2008	A*	`conf`	Learning in the Limit with Adversarial Disturbances. COLT Constantine Caramanis, Shie Mannor
2008	A*	`conf`	Rank minimization via online learning. ICML Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon
2008	B	`conf`	Rate Bounds on SSIM Index of Quantized Image DCT Coefficients. DCC Sumohana S. Channappayya, Alan C. Bovik, Robert W. Heath Jr., Constantine Caramanis
2008	J	`jnl`	Robust Regression and Lasso CoRR Huan Xu, Constantine Caramanis, Shie Mannor
2008	—	`conf`	Robust Regression and Lasso. NIPS Huan Xu, Constantine Caramanis, Shie Mannor
2008	—	`conf`	Robust dimensionality reduction for high-dimension data. Allerton Huan Xu, Constantine Caramanis, Shie Mannor
2008	J	`jnl`	Robustness, Risk, and Regularization in Support Vector Machines CoRR Huan Xu, Shie Mannor, Constantine Caramanis
2008	Misc	`conf`	SSIM-optimal linear image restoration. ICASSP Sumohana S. Channappayya, Alan C. Bovik, Constantine Caramanis, Robert W. Heath Jr.
2008	—	`conf`	Sparse algorithms are not stable: A no-free-lunch theorem. Allerton Huan Xu, Shie Mannor, Constantine Caramanis
2008	—	`conf`	System level optimization in wireless networks with uncertain customer arrival rates. Allerton Sungho Yun, Constantine Caramanis
2007	—	`conf`	Adaptability via sampling. CDC Dimitris Bertsimas, Constantine Caramanis
2007	J	`jnl`	An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Trans. Inf. Theory Constantine Caramanis, Shie Mannor
2006	—	`—`	Adaptable optimization: theory and algorithms. Constantine Caramanis
2006	J	`jnl`	Approximating fluid schedules in crossbar packet-switches and Banyan networks. IEEE/ACM Trans. Netw. Michael Rosenblum, Constantine Caramanis, Michel X. Goemans, Vahid Tarokh
2006	J	`jnl`	Bounds on linear PDEs via semidefinite optimization. Math. Program. Dimitris Bertsimas, Constantine Caramanis
2004	A*	`conf`	An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT Constantine Caramanis, Shie Mannor