Constantine Caramanis
Orcid: 0000-0001-9939-8378
According to our database1,
Constantine Caramanis
authored at least 179 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2023, "For contributions to robust statistics and optimization in high dimensions".
Timeline
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Online presence:
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Bibliography
2024
Global Optimality of the EM Algorithm for Mixtures of Two-Component Linear Regressions.
IEEE Trans. Inf. Theory, September, 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing.
J. Mach. Learn. Res., 2024
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations.
CoRR, 2024
CoRR, 2024
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods.
CoRR, 2023
Understanding Lexical Biases when Identifying Gang-related Social Media Communications.
CoRR, 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models.
CoRR, 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Proc. ACM Meas. Anal. Comput. Syst., 2022
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
CoRR, 2020
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians.
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proc. ACM Meas. Anal. Comput. Syst., 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression.
Proceedings of the Conference on Learning Theory, 2019
2018
Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates.
IEEE Trans. Inf. Theory, 2018
IEEE Trans. Image Process., 2018
Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably.
SIAM J. Imaging Sci., 2018
Proc. ACM Meas. Anal. Comput. Syst., 2018
CoRR, 2018
CoRR, 2018
The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations.
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs.
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Commun., 2016
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization.
CoRR, 2016
Provable non-convex projected gradient descent for a class of constrained matrix optimization problems.
CoRR, 2016
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Exploiting randomness in sketching for efficient hardware implementation of machine learning applications.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016
PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016
Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
IEEE Trans. Multim., 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Commun., 2015
Wireless scheduling with partial channel state information: large deviations and optimality.
Queueing Syst. Theory Appl., 2015
Delay-Constrained Video Transmission: Quality-Driven Resource Allocation and Scheduling.
IEEE J. Sel. Top. Signal Process., 2015
CoRR, 2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 52nd Annual Design Automation Conference, 2015
2014
Modeling the Time - Varying Subjective Quality of HTTP Video Streams With Rate Adaptations.
IEEE Trans. Image Process., 2014
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014
IEEE Trans. Autom. Control., 2014
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
A tractable model for optimizing device-to-device communications in downlink cellular networks.
Proceedings of the IEEE International Conference on Communications, 2014
Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates.
Proceedings of The 27th Conference on Learning Theory, 2014
2013
IEEE Trans. Wirel. Commun., 2013
IEEE Trans. Signal Process., 2013
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling.
IEEE Trans. Autom. Control., 2013
Resource Optimization in Device-to-Device Cellular Systems Using Time-Frequency Hopping.
CoRR, 2013
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
A dynamic system model of time-varying subjective quality of video streams over HTTP.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 2013 IEEE Global Communications Conference, 2013
Device-to-device modeling and analysis with a modified Matern hardcore BS location model.
Proceedings of the 2013 IEEE Global Communications Conference, 2013
Video quality-maximizing resource allocation and scheduling with statistical delay guarantees.
Proceedings of the 2013 IEEE Global Communications Conference, 2013
2012
IEEE Trans. Signal Process., 2012
System-Level Optimization in Wireless Networks: Managing Interference and Uncertainty via Robust Optimization.
IEEE/ACM Trans. Netw., 2012
IEEE Trans. Inf. Theory, 2012
Predictable Equation-Based Analog Optimization Based on Explicit Capture of Modeling Error Statistics.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
A Cross-Layer Design for Perceptual Optimization Of H.264/SVC with Unequal Error Protection.
IEEE J. Sel. Areas Commun., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results
CoRR, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
Proceedings of the 2012 IEEE Global Communications Conference, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
Prioritized multimode precoding for joint minimization of source-channel video distortions.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
Phys. Commun., 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission.
Proceedings of the Global Communications Conference, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering.
IEEE Trans. Veh. Technol., 2010
IEEE Trans. Autom. Control., 2010
An algorithm for exploiting modeling error statistics to enable robust analog optimization.
Proceedings of the 2010 International Conference on Computer-Aided Design, 2010
Proceedings of the Global Communications Conference, 2010
Proceedings of the Global Communications Conference, 2010
Proceedings of the COLT 2010, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
Proceedings of the 2009 IEEE Information Theory Workshop, 2009
Proceedings of the 2009 International Conference on Computer-Aided Design, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
IEEE Trans. Image Process., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
System level optimization in wireless networks with uncertain customer arrival rates.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
IEEE Trans. Inf. Theory, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
IEEE/ACM Trans. Netw., 2006