| 2025 | ICLR | 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 |
| 2025 | ICLR | Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. | Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu |
| 2025 | ICLR | RB-Modulation: Training-Free Stylization using Reference-Based Modulation. | Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu |
| 2025 | ICML | On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. | Matthew Faw, Constantine Caramanis, Jessica Hoffmann |
| 2024 | AAAI | Contextual Pandora's Box. | Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos |
| 2024 | CVPR | Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. | Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu |
| 2024 | ICML | Prospective Side Information for Latent MDPs. | Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis |
| 2023 | COLT | Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. | Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai |
| 2023 | ICML | Reward-Mixing MDPs with Few Latent Contexts are Learnable. | Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor |
| 2022 | AISTATS | Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise. | Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis |
| 2022 | COLT | 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 |
| 2022 | ICML | Asymptotically-Optimal Gaussian Bandits with Side Observations. | Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai |
| 2022 | ICML | Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. | Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor |
| 2022 | SODA | Single-Sample Prophet Inequalities via Greedy-Ordered Selection. | Constantine Caramanis, Paul Dtting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhuser |
| 2022 | SIGMETRICS | Learning To Maximize Welfare with a Reusable Resource. | Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai |
| 2021 | AISTATS | Contextual Blocking Bandits. | Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai |
| 2021 | AISTATS | On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. | Jeongyeol Kwon, Nhat Ho, Constantine Caramanis |
| 2021 | ICML | Combinatorial Blocking Bandits with Stochastic Delays. | Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai |
| 2020 | AISTATS | EM Converges for a Mixture of Many Linear Regressions. | Jeongyeol Kwon, Constantine Caramanis |
| 2020 | AISTATS | High Dimensional Robust Sparse Regression. | Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis |
| 2020 | AISTATS | Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. | Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis |
| 2020 | COLT | The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians. | Jeongyeol Kwon, Constantine Caramanis |
| 2020 | ICML | Learning Mixtures of Graphs from Epidemic Cascades. | Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis |
| 2019 | COLT | Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. | Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis |
| 2019 | ICML | Robust Estimation of Tree Structured Gaussian Graphical Models. | Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis |
| 2019 | SIGMETRICS | Learning Graphs from Noisy Epidemic Cascades. | Jessica H. Hoffmann, Constantine Caramanis |
| 2018 | AAAI | Statistical Inference Using SGD. | Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis |
| 2018 | ICASSP | Second Order Natural Scene Statistics Model of Blind Image Quality Assessment. | Zeina Sinno, Constantine Caramanis, Alan C. Bovik |
| 2018 | SIGMETRICS | The Cost of Uncertainty in Curing Epidemics. | Jessica Hoffmann, Constantine Caramanis |
| 2017 | AISTATS | Minimax Gaussian Classification & Clustering. | Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar |
| 2017 | AISTATS | Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. | Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi |
| 2016 | DATE | PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. | Ye Wang, Constantine Caramanis, Michael Orshansky |
| 2016 | ICCAD | Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. | Ye Wang, Constantine Caramanis, Michael Orshansky |
| 2015 | DAC | Novel power grid reduction method based on L1 regularization. | Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis |
| 2015 | ICML | Binary Embedding: Fundamental Limits and Fast Algorithm. | Xinyang Yi, Constantine Caramanis, Eric Price |
| 2015 | INFOCOM | Local detection of infections in heterogeneous networks. | Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai |
| 2015 | SIGMETRICS | Localized Epidemic Detection in Networks with Overwhelming Noise. | Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda |
| 2014 | COLT | A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. | Yudong Chen, Xinyang Yi, Constantine Caramanis |
| 2014 | DAC | Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. | Ye Wang, Michael Orshansky, Constantine Caramanis |
| 2014 | ICML | Finding Dense Subgraphs via Low-Rank Bilinear Optimization. | Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis |
| 2014 | ICML | Alternating Minimization for Mixed Linear Regression. | Xinyang Yi, Constantine Caramanis, Sujay Sanghavi |
| 2013 | GLOBECOM | Video quality-maximizing resource allocation and scheduling with statistical delay guarantees. | Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr. |
| 2013 | GLOBECOM | Device-to-device modeling and analysis with a modified Matern hardcore BS location model. | Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews |
| 2013 | GLOBECOM | On/off macrocells and load balancing in heterogeneous cellular networks. | Qiaoyang Ye, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews |
| 2013 | ICASSP | A dynamic system model of time-varying subjective quality of video streams over HTTP. | Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis, Robert W. Heath Jr., Alan C. Bovik |
| 2013 | ICML | Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. | Yudong Chen, Constantine Caramanis |
| 2013 | ICML | Robust Sparse Regression under Adversarial Corruption. | Yudong Chen, Constantine Caramanis, Shie Mannor |
| 2013 | MOBIHOC | Detecting epidemics using highly noisy data. | Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai |
| 2012 | ACSSC | Prioritized multimode precoding for joint minimization of source-channel video distortions. | Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr. |
| 2012 | GLOBECOM | Towards an optimal user association in heterogeneous cellular networks. | Qiaoyang Ye, Beiyu Rong, Yudong Chen, Constantine Caramanis, Jeffrey G. Andrews |
| 2012 | INFOCOM | Queue-based sub-carrier grouping for feedback reduction in OFDMA systems. | Harish Ganapathy, Constantine Caramanis |
| 2012 | INFOCOM | Low-delay wireless scheduling with partial channel-state information. | Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai |
| 2012 | SIGMETRICS | Network forensics: random infection vs spreading epidemic. | Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai |
| 2011 | GLOBECOM | Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission. | Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr. |
| 2011 | ICML | Robust Matrix Completion and Corrupted Columns. | Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi |
| 2011 | ISIT | On file sharing over a wireless social network. | Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai |
| 2011 | ISIT | Low-rank matrix recovery from errors and erasures. | Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis |
| 2010 | COLT | Principal Component Analysis with Contaminated Data: The High Dimensional Case. | Huan Xu, Constantine Caramanis, Shie Mannor |
| 2010 | GLOBECOM | Dynamic Feedback Allocation Algorithms for Interference Management in MIMO Uplink. | Harish Ganapathy, Constantine Caramanis |
| 2010 | GLOBECOM | Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems. | Sungho Yun, Constantine Caramanis |
| 2010 | ICCAD | An algorithm for exploiting modeling error statistics to enable robust analog optimization. | Ashish Kumar Singh, Mario Lok, Kareem Ragab, Constantine Caramanis, Michael Orshansky |
| 2009 | ICCAD | Mitigation of intra-array SRAM variability using adaptive voltage architecture. | Ashish Kumar Singh, Ku He, Constantine Caramanis, Michael Orshansky |
| 2009 | ITW | High dimensional Principal Component Analysis with contaminated data. | Huan Xu, Constantine Caramanis, Shie Mannor |
| 2008 | ACSSC | Inter-cell relay cooperation in heterogeneous cellular uplink systems. | Harish Ganapathy, Jeffrey G. Andrews, Constantine Caramanis |
| 2008 | COLT | Learning in the Limit with Adversarial Disturbances. | Constantine Caramanis, Shie Mannor |
| 2008 | DCC | Rate Bounds on SSIM Index of Quantized Image DCT Coefficients. | Sumohana S. Channappayya, Alan C. Bovik, Robert W. Heath Jr., Constantine Caramanis |
| 2008 | GLOBECOM | A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems. | Robert C. Daniels, Constantine Caramanis, Robert W. Heath Jr. |
| 2008 | ICASSP | SSIM-optimal linear image restoration. | Sumohana S. Channappayya, Alan C. Bovik, Constantine Caramanis, Robert W. Heath Jr. |
| 2008 | ICML | Rank minimization via online learning. | Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon |
| 2004 | COLT | An Inequality for Nearly Log-Concave Distributions with Applications to Learning. | Constantine Caramanis, Shie Mannor |