Bounds on linear PDEs via semidefinite optimization. - Dimitris Bertsimas; Constantine Caramanis (Math. Program., 2006)

Approximating fluid schedules in crossbar packet-switches and Banyan networks. - Michael Rosenblum; Constantine Caramanis; Michel X. Goemans; Vahid Tarokh (IEEE/ACM Trans. Netw., 2006)

Adaptable optimization: theory and algorithms. - Constantine Caramanis (2006)

Adaptability via sampling. - Dimitris Bertsimas; Constantine Caramanis (CDC, 2007)

An Inequality for Nearly Log-Concave Distributions With Applications to Learning. - Constantine Caramanis; Shie Mannor (IEEE Trans. Inf. Theory, 2007)

Inter-cell relay cooperation in heterogeneous cellular uplink systems. - Harish Ganapathy; Jeffrey G. Andrews; Constantine Caramanis (ACSCC, 2008)

Robust dimensionality reduction for high-dimension data. - Huan Xu 001; Constantine Caramanis; Shie Mannor (Allerton, 2008)

System level optimization in wireless networks with uncertain customer arrival rates. - Sungho Yun; Constantine Caramanis (Allerton, 2008)

Learning in the Limit with Adversarial Disturbances. - Constantine Caramanis; Shie Mannor (COLT, 2008)

Rate Bounds on SSIM Index of Quantized Image DCT Coefficients. - Sumohana S. Channappayya; Alan C. Bovik; Robert W. Heath Jr.; Constantine Caramanis (DCC, 2008)

A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems. - Robert C. Daniels; Constantine Caramanis; Robert W. Heath Jr. (GLOBECOM, 2008)

SSIM-optimal linear image restoration. - Sumohana S. Channappayya; Alan C. Bovik; Constantine Caramanis; Robert W. Heath Jr. (ICASSP, 2008)

Rank minimization via online learning. - Raghu Meka; Prateek Jain 002; Constantine Caramanis; Inderjit S. Dhillon (ICML, 2008)

Robustness, Risk, and Regularization in Support Vector Machines - Huan Xu 001; Shie Mannor; Constantine Caramanis (CoRR, 2008)

Design of Linear Equalizers Optimized for the Structural Similarity Index. - Sumohana S. Channappayya; Alan C. Bovik; Constantine Caramanis; Robert W. Heath Jr. (IEEE Trans. Image Process., 2008)

Optimal feedback allocation algorithms for multi-user uplink. - Harish Ganapathy; Siddhartha Banerjee; Nedialko B. Dimitrov; Constantine Caramanis (Allerton, 2009)

Multiclass support vector machines for adaptation in MIMO-OFDM wireless systems. - Sungho Yun; Constantine Caramanis (Allerton, 2009)

Risk sensitive robust support vector machines. - Huan Xu 001; Constantine Caramanis; Shie Mannor; Sungho Yun (CDC, 2009)

Mitigation of intra-array SRAM variability using adaptive voltage architecture. - Ashish Kumar Singh; Ku He; Constantine Caramanis; Michael Orshansky (ICCAD, 2009)

High dimensional Principal Component Analysis with contaminated data. - Huan Xu 001; Constantine Caramanis; Shie Mannor (ITW, 2009)

Robustness and Regularization of Support Vector Machines. - Huan Xu 001; Constantine Caramanis; Shie Mannor (J. Mach. Learn. Res., 2009)

Limited feedback for cognitive radio networks using compressed sensing. - Harish Ganapathy; Constantine Caramanis; Lei Ying 001 (Allerton, 2010)

Principal Component Analysis with Contaminated Data: The High Dimensional Case. - Huan Xu 001; Constantine Caramanis; Shie Mannor (COLT, 2010)

Dynamic Feedback Allocation Algorithms for Interference Management in MIMO Uplink. - Harish Ganapathy; Constantine Caramanis (GLOBECOM, 2010)

Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems. - Sungho Yun; Constantine Caramanis (GLOBECOM, 2010)

An algorithm for exploiting modeling error statistics to enable robust analog optimization. - Ashish Kumar Singh; Mario Lok; Kareem Ragab; Constantine Caramanis; Michael Orshansky (ICCAD, 2010)

Finite Adaptability in Multistage Linear Optimization. - Dimitris Bertsimas; Constantine Caramanis (IEEE Trans. Autom. Control., 2010)

Robust regression and Lasso. - Huan Xu 001; Constantine Caramanis; Shie Mannor (IEEE Trans. Inf. Theory, 2010)

Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering. - Robert C. Daniels; Constantine Caramanis; Robert W. Heath Jr. (IEEE Trans. Veh. Technol., 2010)

User rankings from comparisons: Learning permutations in high dimensions. - Ioannis Mitliagkas; Aditya Gopalan; Constantine Caramanis; Sriram Vishwanath (Allerton, 2011)

Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (GLOBECOM, 2011)

Robust Matrix Completion and Corrupted Columns. - Yudong Chen 001; Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (ICML, 2011)

On file sharing over a wireless social network. - Yi-Ting Chen; Constantine Caramanis; Sanjay Shakkottai (ISIT, 2011)

On Sharing Viral Video over an Ad Hoc Wireless Network - Yi-Ting Chen; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2011)

Robust Matrix Completion with Corrupted Columns - Yudong Chen 001; Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (CoRR, 2011)

Distributed link adaptation for multicast traffic in MIMO-OFDM systems. - Sungho Yun; Constantine Caramanis; Robert W. Heath Jr. (Phys. Commun., 2011)

Theory and Applications of Robust Optimization. - Dimitris Bertsimas; David B. Brown; Constantine Caramanis (SIAM Rev., 2011)

Prioritized multimode precoding for joint minimization of source-channel video distortions. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (ACSCC, 2012)

On identifying the causative network of an epidemic. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (Allerton Conference, 2012)

Video-aware MIMO precoding with packet prioritization and unequal modulation. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (EUSIPCO, 2012)

Towards an optimal user association in heterogeneous cellular networks. - Qiaoyang Ye; Beiyu Rong; Yudong Chen 001; Constantine Caramanis; Jeffrey G. Andrews (GLOBECOM, 2012)

Queue-based sub-carrier grouping for feedback reduction in OFDMA systems. - Harish Ganapathy; Constantine Caramanis (INFOCOM, 2012)

Low-delay wireless scheduling with partial channel-state information. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (INFOCOM, 2012)

Online learning for quality-driven unequal protection of scalable video. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (MLSP, 2012)

Network forensics: random infection vs spreading epidemic. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (SIGMETRICS, 2012)

Simple algorithms for sparse linear regression with uncertain covariates. - Yudong Chen 001; Constantine Caramanis (SSP, 2012)

Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results - Yudong Chen 001; Constantine Caramanis (CoRR, 2012)

Optimization Under Probabilistic Envelope Constraints. - Huan Xu 001; Constantine Caramanis; Shie Mannor (Oper. Res., 2012)

Statistical Optimization in High Dimensions. - Huan Xu 001; Constantine Caramanis; Shie Mannor (AISTATS, 2012)

A Cross-Layer Design for Perceptual Optimization Of H.264/SVC with Unequal Error Protection. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (IEEE J. Sel. Areas Commun., 2012)

A Distributional Interpretation of Robust Optimization. - Huan Xu 001; Constantine Caramanis; Shie Mannor (Math. Oper. Res., 2012)

Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. - Huan Xu 001; Constantine Caramanis; Shie Mannor (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Predictable Equation-Based Analog Optimization Based on Explicit Capture of Modeling Error Statistics. - Ashish Kumar Singh; Kareem Ragab; Mario Lok; Constantine Caramanis; Michael Orshansky (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

On Wireless Scheduling With Partial Channel-State Information. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2012)

Robust PCA via Outlier Pursuit. - Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (IEEE Trans. Inf. Theory, 2012)

System-Level Optimization in Wireless Networks: Managing Interference and Uncertainty via Robust Optimization. - Sungho Yun; Constantine Caramanis (IEEE/ACM Trans. Netw., 2012)

Equitable and Efficient Coordination in Traffic Flow Management. - Cynthia Barnhart; Dimitris Bertsimas; Constantine Caramanis; Douglas Fearing (Transp. Sci., 2012)

Feedback Allocation for OFDMA Systems With Slow Frequency-Domain Scheduling. - Harish Ganapathy; Siddhartha Banerjee; Nedialko B. Dimitrov; Constantine Caramanis (IEEE Trans. Signal Process., 2012)

Video quality-maximizing resource allocation and scheduling with statistical delay guarantees. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (GLOBECOM, 2013)

Device-to-device modeling and analysis with a modified Matern hardcore BS location model. - Qiaoyang Ye; Mazin Al-Shalash; Constantine Caramanis; Jeffrey G. Andrews (GLOBECOM, 2013)

On/off macrocells and load balancing in heterogeneous cellular networks. - Qiaoyang Ye; Mazin Al-Shalash; Constantine Caramanis; Jeffrey G. Andrews (GLOBECOM, 2013)

A dynamic system model of time-varying subjective quality of video streams over HTTP. - Chao Chen 006; Lark Kwon Choi; Gustavo de Veciana; Constantine Caramanis; Robert W. Heath Jr.; Alan C. Bovik (ICASSP, 2013)

Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. - Yudong Chen 001; Constantine Caramanis (ICML (1), 2013)

Robust Sparse Regression under Adversarial Corruption. - Yudong Chen 001; Constantine Caramanis; Shie Mannor (ICML (3), 2013)

Detecting epidemics using highly noisy data. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (MobiHoc, 2013)

Memory Limited, Streaming PCA. - Ioannis Mitliagkas; Constantine Caramanis; Prateek Jain 002 (NIPS, 2013)

A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise. - Yudong Chen 001; Xinyang Yi; Constantine Caramanis (CoRR, 2013)

Resource Optimization in Device-to-Device Cellular Systems Using Time-Frequency Hopping. - Qiaoyang Ye; Mazin Al-Shalash; Constantine Caramanis; Jeffrey G. Andrews (CoRR, 2013)

Robust High Dimensional Sparse Regression and Matching Pursuit - Yudong Chen 001; Constantine Caramanis; Shie Mannor (CoRR, 2013)

On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2013)

Low-Rank Matrix Recovery From Errors and Erasures. - Yudong Chen 001; Ali Jalali; Sujay Sanghavi; Constantine Caramanis (IEEE Trans. Inf. Theory, 2013)

Outlier-Robust PCA: The High-Dimensional Case. - Huan Xu 001; Constantine Caramanis; Shie Mannor (IEEE Trans. Inf. Theory, 2013)

Exploiting Sparse Dynamics For Bandwidth Reduction In Cooperative Sensing Systems. - Harish Ganapathy; Constantine Caramanis; Lei Ying 001 (IEEE Trans. Signal Process., 2013)

User Association for Load Balancing in Heterogeneous Cellular Networks. - Qiaoyang Ye; Beiyu Rong; Yudong Chen 001; Mazin Al-Shalash; Constantine Caramanis; Jeffrey G. Andrews (IEEE Trans. Wirel. Commun., 2013)

A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. - Yudong Chen 001; Xinyang Yi; Constantine Caramanis (COLT, 2014)

Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. - Ye Wang 014; Michael Orshansky; Constantine Caramanis (DAC, 2014)

A tractable model for optimizing device-to-device communications in downlink cellular networks. - Qiaoyang Ye; Mazin Al-Shalash; Constantine Caramanis; Jeffrey G. Andrews (ICC, 2014)

Finding Dense Subgraphs via Low-Rank Bilinear Optimization. - Dimitris S. Papailiopoulos; Ioannis Mitliagkas; Alexandros G. Dimakis; Constantine Caramanis (ICML, 2014)

Alternating Minimization for Mixed Linear Regression. - Xinyang Yi; Constantine Caramanis; Sujay Sanghavi (ICML, 2014)

Greedy Subspace Clustering. - Dohyung Park; Constantine Caramanis; Sujay Sanghavi (NIPS, 2014)

Targeted L1L2: Naturalness-constrained image recovery from random projections. - Greg J. Freeman; Constantine Caramanis; Alan C. Bovik (SSIAI, 2014)

Efficient Algorithms for Budget-Constrained Markov Decision Processes. - Constantine Caramanis; Nedialko B. Dimitrov; David P. Morton (IEEE Trans. Autom. Control., 2014)

Modeling and Optimization Techniques for Yield-Aware SRAM Post-Silicon Tuning. - Ashish Kumar Singh; Ku He; Constantine Caramanis; Michael Orshansky (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Modeling the Time - Varying Subjective Quality of HTTP Video Streams With Rate Adaptations. - Chao Chen 006; Lark Kwon Choi; Gustavo de Veciana; Constantine Caramanis; Robert W. Heath Jr.; Alan C. Bovik (IEEE Trans. Image Process., 2014)

Novel power grid reduction method based on L1 regularization. - Ye Wang 014; Meng Li 004; Xinyang Yi; Zhao Song 002; Michael Orshansky; Constantine Caramanis (DAC, 2015)

Binary Embedding: Fundamental Limits and Fast Algorithm. - Xinyang Yi; Constantine Caramanis; Eric Price 001 (ICML, 2015)

Local detection of infections in heterogeneous networks. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (INFOCOM, 2015)

Regularized EM Algorithms: A Unified Framework and Statistical Guarantees. - Xinyang Yi; Constantine Caramanis (NIPS, 2015)

Optimal Linear Estimation under Unknown Nonlinear Transform. - Xinyang Yi; Zhaoran Wang 001; Constantine Caramanis; Han Liu 001 (NIPS, 2015)

Localized Epidemic Detection in Networks with Overwhelming Noise. - Eli A. Meirom; Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai; Ariel Orda (SIGMETRICS, 2015)

Regularized EM Algorithms: A Unified Framework and Provable Statistical Guarantees. - Xinyang Yi; Constantine Caramanis (CoRR, 2015)

Delay-Constrained Video Transmission: Quality-Driven Resource Allocation and Scheduling. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (IEEE J. Sel. Top. Signal Process., 2015)

FrogWild! - Fast PageRank Approximations on Graph Engines. - Ioannis Mitliagkas; Michael Borokhovich; Alexandros G. Dimakis; Constantine Caramanis (Proc. VLDB Endow., 2015)

Wireless scheduling with partial channel state information: large deviations and optimality. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (Queueing Syst. Theory Appl., 2015)

Distributed Resource Allocation in Device-to-Device Enhanced Cellular Networks. - Qiaoyang Ye; Mazin Al-Shalash; Constantine Caramanis; Jeffrey G. Andrews (IEEE Trans. Commun., 2015)

Distinguishing Infections on Different Graph Topologies. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2015)

Loss Visibility Optimized Real-Time Video Transmission Over MIMO Systems. - Amin Abdel Khalek; Constantine Caramanis; Robert W. Heath Jr. (IEEE Trans. Multim., 2015)

Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach. - Dohyung Park; Anastasios Kyrillidis; Constantine Caramanis; Sujay Sanghavi (Allerton, 2016)

PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. - Ye Wang 014; Constantine Caramanis; Michael Orshansky (DATE, 2016)

Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. - Ye Wang 014; Constantine Caramanis; Michael Orshansky (ICCAD, 2016)

Fast Algorithms for Robust PCA via Gradient Descent. - Xinyang Yi; Dohyung Park; Yudong Chen 001; Constantine Caramanis (NIPS, 2016)

More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. - Xinyang Yi; Zhaoran Wang 001; Zhuoran Yang; Constantine Caramanis; Han Liu 001 (NIPS, 2016)

Provable non-convex projected gradient descent for a class of constrained matrix optimization problems. - Dohyung Park; Anastasios Kyrillidis; Srinadh Bhojanapalli; Constantine Caramanis; Sujay Sanghavi (CoRR, 2016)

Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably. - Dohyung Park; Anastasios Kyrillidis; Constantine Caramanis; Sujay Sanghavi (CoRR, 2016)

Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization. - Xinyang Yi; Constantine Caramanis; Sujay Sanghavi (CoRR, 2016)

User Association and Interference Management in Massive MIMO HetNets. - Qiaoyang Ye; Ozgun Yilmaz Bursalioglu; Haralabos C. Papadopoulos; Constantine Caramanis; Jeffrey G. Andrews (IEEE Trans. Commun., 2016)

Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. - Yudong Chen 001; Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (IEEE Trans. Inf. Theory, 2016)

Minimax Gaussian Classification & Clustering. - Tianyang Li; Xinyang Yi; Constantine Caramanis; Pradeep Ravikumar (AISTATS, 2017)

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. - Dohyung Park; Anastasios Kyrillidis; Constantine Caramanis; Sujay Sanghavi (AISTATS, 2017)

Exploiting Latent Attack Semantics for Intelligent Malware Detection. - Mikhail Kazdagli; Constantine Caramanis; Sanjay Shakkottai; Mohit Tiwari (CoRR, 2017)

Provable quantum state tomography via non-convex methods. - Anastasios Kyrillidis; Amir Kalev; Dohyung Park; Srinadh Bhojanapalli; Constantine Caramanis; Sujay Sanghavi (CoRR, 2017)

The Stochastic Firefighter Problem. - Guy Tennenholtz; Constantine Caramanis; Shie Mannor (CoRR, 2017)

Statistical Inference Using SGD. - Tianyang Li; Liu Liu; Anastasios Kyrillidis; Constantine Caramanis (AAAI, 2018)

Second Order Natural Scene Statistics Model of Blind Image Quality Assessment. - Zeina Sinno; Constantine Caramanis; Alan C. Bovik (ICASSP, 2018)

The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. - Mikhail Kazdagli; Constantine Caramanis; Sanjay Shakkottai; Mohit Tiwari (CoRR, 2018)

Approximate Newton-based statistical inference using only stochastic gradients. - Tianyang Li; Anastasios Kyrillidis; Liu Liu; Constantine Caramanis (CoRR, 2018)

Entropic Latent Variable Discovery. - Murat Kocaoglu; Sanjay Shakkottai; Alexandros G. Dimakis; Constantine Caramanis; Sriram Vishwanath (CoRR, 2018)

Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression. - Jeongyeol Kwon; Constantine Caramanis (CoRR, 2018)

The Cost of Uncertainty in Curing Epidemics. - Jessica Hoffmann; Constantine Caramanis (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably. - Dohyung Park; Anastasios Kyrillidis; Constantine Caramanis; Sujay Sanghavi (SIAM J. Imaging Sci., 2018)

Towards a Closed Form Second-Order Natural Scene Statistics Model. - Zeina Sinno; Constantine Caramanis; Alan C. Bovik (IEEE Trans. Image Process., 2018)

Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. - Yudong Chen 001; Xinyang Yi; Constantine Caramanis (IEEE Trans. Inf. Theory, 2018)

Detecting Cascades from Weak Signatures. - Eli A. Meirom; Constantine Caramanis; Shie Mannor; Ariel Orda; Sanjay Shakkottai (IEEE Trans. Netw. Sci. Eng., 2018)

Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. - Jeongyeol Kwon; Wei Qian; Constantine Caramanis; Yudong Chen 001; Damek Davis (COLT, 2019)

Robust Estimation of Tree Structured Gaussian Graphical Models. - Ashish Katiyar; Jessica Hoffmann; Constantine Caramanis (ICML, 2019)

Primal-Dual Block Generalized Frank-Wolfe. - Qi Lei; Jiacheng Zhuo; Constantine Caramanis; Inderjit S. Dhillon; Alexandros G. Dimakis (NeurIPS, 2019)

High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding. - Liu Liu; Tianyang Li; Constantine Caramanis (CoRR, 2019)

Robust estimation of tree structured Gaussian Graphical Model. - Ashish Katiyar; Jessica Hoffmann; Constantine Caramanis (CoRR, 2019)

Primal-Dual Block Frank-Wolfe. - Qi Lei; Jiacheng Zhuo; Constantine Caramanis; Inderjit S. Dhillon; Alexandros G. Dimakis (CoRR, 2019)

Disentangling Mixtures of Epidemics on Graphs. - Jessica Hoffmann; Soumya Basu 001; Surbhi Goel; Constantine Caramanis (CoRR, 2019)

Learning Graphs from Noisy Epidemic Cascades. - Jessica Hoffmann; Constantine Caramanis (Proc. ACM Meas. Anal. Comput. Syst., 2019)

EM Converges for a Mixture of Many Linear Regressions. - Jeongyeol Kwon; Constantine Caramanis (AISTATS, 2020)

High Dimensional Robust Sparse Regression. - Liu Liu; Yanyao Shen; Tianyang Li; Constantine Caramanis (AISTATS, 2020)

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. - Jiacheng Zhuo; Qi Lei; Alex Dimakis; Constantine Caramanis (AISTATS, 2020)

The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians. - Jeongyeol Kwon; Constantine Caramanis (COLT, 2020)

Learning Mixtures of Graphs from Epidemic Cascades. - Jessica Hoffmann; Soumya Basu 001; Surbhi Goel; Constantine Caramanis (ICML, 2020)

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. - Matthew Faw; Rajat Sen; Karthikeyan Shanmugam; Constantine Caramanis; Sanjay Shakkottai (NeurIPS, 2020)

Robust compressed sensing using generative models. - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (NeurIPS, 2020)

Applications of Common Entropy for Causal Inference. - Murat Kocaoglu; Sanjay Shakkottai; Alexandros G. Dimakis; Constantine Caramanis; Sriram Vishwanath (NeurIPS, 2020)

Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking. - Isidoros Tziotis; Constantine Caramanis; Aryan Mokhtari (NeurIPS, 2020)

EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians. - Jeongyeol Kwon; Constantine Caramanis (CoRR, 2020)

Robust Estimation of Tree Structured Ising Models. - Ashish Katiyar; Vatsal Shah; Constantine Caramanis (CoRR, 2020)

Robust compressed sensing of generative models. - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (CoRR, 2020)

Robust Structured Statistical Estimation via Conditional Gradient Type Methods. - Jiacheng Zhuo; Liu Liu; Constantine Caramanis (CoRR, 2020)

Quarantines as a Targeted Immunization Strategy. - Jessica Hoffmann; Matt Jordan; Constantine Caramanis (CoRR, 2020)

Contextual Blocking Bandits. - Soumya Basu 001; Orestis Papadigenopoulos; Constantine Caramanis; Sanjay Shakkottai (AISTATS, 2021)

On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. - Jeongyeol Kwon; Nhat Ho; Constantine Caramanis (AISTATS, 2021)

Combinatorial Blocking Bandits with Stochastic Delays. - Alexia Atsidakou; Orestis Papadigenopoulos; Soumya Basu 001; Constantine Caramanis; Sanjay Shakkottai (ICML, 2021)

Reinforcement Learning in Reward-Mixing MDPs. - Jeongyeol Kwon; Yonathan Efroni; Constantine Caramanis; Shie Mannor (NeurIPS, 2021)

RL for Latent MDPs: Regret Guarantees and a Lower Bound. - Jeongyeol Kwon; Yonathan Efroni; Constantine Caramanis; Shie Mannor (NeurIPS, 2021)

Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits. - Orestis Papadigenopoulos; Constantine Caramanis (NeurIPS, 2021)

Recurrent Submodular Welfare and Matroid Blocking Bandits. - Orestis Papadigenopoulos; Constantine Caramanis (CoRR, 2021)

Robust Estimation of Tree Structured Markov Random Fields. - Ashish Katiyar; Soumya Basu 001; Vatsal Shah; Constantine Caramanis (CoRR, 2021)

Single-Sample Prophet Inequalities Revisited. - Constantine Caramanis; Matthew Faw; Orestis Papadigenopoulos; Emmanouil Pountourakis (CoRR, 2021)

Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise. - Ashish Katiyar; Soumya Basu 001; Vatsal Shah; Constantine Caramanis (AISTATS, 2022)

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. - Sen Lin 001; Ming Shi 003; Anish Arora; Raef Bassily; Elisa Bertino; Constantine Caramanis; Kaushik R. Chowdhury; Eylem Ekici; Atilla Eryilmaz; Stratis Ioannidis; Nan Jiang 008; Gauri Joshi; et al. (CIC, 2022)

The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. - Matthew Faw; Isidoros Tziotis; Constantine Caramanis; Aryan Mokhtari; Sanjay Shakkottai; Rachel A. Ward (COLT, 2022)

Asymptotically-Optimal Gaussian Bandits with Side Observations. - Alexia Atsidakou; Orestis Papadigenopoulos; Constantine Caramanis; Sujay Sanghavi; Sanjay Shakkottai (ICML, 2022)

Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. - Jeongyeol Kwon; Yonathan Efroni; Constantine Caramanis; Shie Mannor (ICML, 2022)

Tractable Optimality in Episodic Latent MABs. - Jeongyeol Kwon; Yonathan Efroni; Constantine Caramanis; Shie Mannor (NeurIPS, 2022)

Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. - Orestis Papadigenopoulos; Constantine Caramanis; Sanjay Shakkottai (NeurIPS, 2022)

Single-Sample Prophet Inequalities via Greedy-Ordered Selection. - Constantine Caramanis; Paul Dütting; Matthew Faw; Federico Fusco; Philip Lazos; Stefano Leonardi 001; Orestis Papadigenopoulos; Emmanouil Pountourakis; Rebecca Reiffenhäuser (SODA, 2022)

Learning To Maximize Welfare with a Reusable Resource. - Matthew Faw; Orestis Papadigenopoulos; Constantine Caramanis; Sanjay Shakkottai (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. - Matthew Faw; Litu Rout; Constantine Caramanis; Sanjay Shakkottai (COLT, 2023)

Reward-Mixing MDPs with Few Latent Contexts are Learnable. - Jeongyeol Kwon; Yonathan Efroni; Constantine Caramanis; Shie Mannor (ICML, 2023)

Logarithmic Bayes Regret Bounds. - Alexia Atsidakou; Branislav Kveton; Sumeet Katariya; Constantine Caramanis; Sujay Sanghavi (NeurIPS, 2023)

Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method. - Constantine Caramanis; Dimitris Fotakis 001; Alkis Kalavasis; Vasilis Kontonis; Christos Tzamos (NeurIPS, 2023)

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. - Litu Rout; Negin Raoof; Giannis Daras; Constantine Caramanis; Alex Dimakis; Sanjay Shakkottai (NeurIPS, 2023)

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. - Litu Rout; Advait Parulekar; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2023)

Understanding Lexical Biases when Identifying Gang-related Social Media Communications. - Dhiraj Murthy; Constantine Caramanis; Koustav Rudra (CoRR, 2023)

Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. - Constantine Caramanis; Dimitris Fotakis 001; Alkis Kalavasis; Vasilis Kontonis; Christos Tzamos (CoRR, 2023)

Contextual Pandora's Box. - Alexia Atsidakou; Constantine Caramanis; Evangelia Gergatsouli; Orestis Papadigenopoulos; Christos Tzamos (AAAI, 2024)

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. - Litu Rout; Yujia Chen 001; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CVPR, 2024)

Prospective Side Information for Latent MDPs. - Jeongyeol Kwon; Yonathan Efroni; Shie Mannor; Constantine Caramanis (ICML, 2024)

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. - Jeongyeol Kwon; Shie Mannor; Constantine Caramanis; Yonathan Efroni (NeurIPS, 2024)

Optimization Can Learn Johnson Lindenstrauss Embeddings. - Nikos Tsikouras; Constantine Caramanis; Christos Tzamos (NeurIPS, 2024)

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CoRR, 2024)

On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing. - Jiacheng Zhuo; Jeongyeol Kwon; Nhat Ho; Constantine Caramanis (J. Mach. Learn. Res., 2024)

Global Optimality of the EM Algorithm for Mixtures of Two-Component Linear Regressions. - Jeongyeol Kwon; Wei Qian; Yudong Chen 001; Constantine Caramanis; Damek Davis; Nhat Ho (IEEE Trans. Inf. Theory, 2024)

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. - Negin Raoof; Litu Rout; Giannis Daras; Sujay Sanghavi; Constantine Caramanis; Sanjay Shakkottai; Alex Dimakis (ICLR, 2025)

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

RB-Modulation: Training-Free Stylization using Reference-Based Modulation. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. - Matthew Faw; Constantine Caramanis; Jessica Hoffmann (CoRR, 2025)

Anchored Diffusion Language Model. - Litu Rout; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2025)