Constantine Caramanis
机构: Professor of Electrical and Computer Engineering, UT Austin
主页: utexas.edu
每年引用次数
引用次数
引用: 12,737
H-指数: 44
I10-指数 : 105
出版物: 230
Statistical inference using SGD
Constantine Caramanis , Anastasios Kyrillidis , Tianyang Li , Liu Liu
arXiv: Learning
33
2017
Minimax Gaussian Classification & Clustering
Constantine Caramanis , Xinyang Yi , Pradeep Ravikumar , Tianyang Li
international conference on artificial intelligence and statistics 1 -9
3
2017
Executive Summary: Imputing Missing Data via Sparse Reconstruction Techniques
Constantine Caramanis
2017
Large-scale linear programs in planning and prediction.
Constantine Caramanis
University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP)
2017
Imputing missing data via sparse reconstruction techniques.
Constantine Caramanis
University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP)
2017
Robust Estimation of Tree Structured Gaussian Graphical Models
Constantine Caramanis , Jessica Hoffmann , Ashish Katiyar
international conference on machine learning 97 3292 -3300
2
2019
Theory and Applications of Robust Optimization
Dimitris Bertsimas , Constantine Caramanis , David B. Brown
arXiv: Optimization and Control
2,733
2010
Binary Embedding: Fundamental Limits and Fast Algorithm
Constantine Caramanis , Xinyang Yi , Eric Price
arXiv: Data Structures and Algorithms
45
2015
Greedy Subspace Clustering
Constantine Caramanis , Sujay Sanghavi , Dohyung Park
arXiv: Machine Learning
117
2014
Memory Limited, Streaming PCA
Ioannis Mitliagkas , Constantine Caramanis , Prateek Jain
arXiv: Machine Learning
171
2013
Fast Algorithms for Robust PCA via Gradient Descent
Constantine Caramanis , Xinyang Yi , Yudong Chen , Dohyung Park
neural information processing systems 29 4152 -4160
262
2016
Regularized EM algorithms: a unified framework and statistical guarantees
Constantine Caramanis , Xinyang Yi
neural information processing systems 28 1567 -1575
90
2015
Optimal linear estimation under unknown nonlinear transform
Constantine Caramanis , Zhaoran Wang , Xinyang Yi , Han Liu
neural information processing systems 28 1549 -1557
7
2015
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression
Constantine Caramanis , Yudong Chen , Damek Davis , Jeongyeol Kwon
conference on learning theory 2055 -2110
14
2019
A Bayesian approach to data-driven optimization under uncertainty
Constantine Caramanis , Shie Mannor
allerton conference on communication, control, and computing 158 -164
1
2007
Primal-Dual Block Generalized Frank-Wolfe
Alexandros G. Dimakis , Constantine Caramanis , Inderjit S. Dhillon , Qi Lei
neural information processing systems 32 13866 -13875
5
2019
Learning Mixtures of Graphs from Epidemic Cascades
Constantine Caramanis , Jessica Hoffmann , Surbhi Goel , Soumya Basu
international conference on machine learning 1 4342 -4352
2020
EM Converges for a Mixture of Many Linear Regressions
Constantine Caramanis , Jeongyeol Kwon
international conference on artificial intelligence and statistics 1727 -1736
2
2020
High Dimensional Robust Sparse Regression.
Constantine Caramanis , Yanyao Shen , Tianyang Li , Liu Liu
international conference on artificial intelligence and statistics 411 -421
6
2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians.
Constantine Caramanis , Jeongyeol Kwon
conference on learning theory 2425 -2487
2
2020
Shie Mannor Huan Xu Sujay Sanghavi Dimitris Bertsimas Robert Heath Jeffrey Andrews Qiaoyang Ye Alan Bovik Alexandros G Dimakis Amin Khalek Ioannis (Yannis) Mitliagkas Michael Orshansky Beiyu Rong David B. Brown Aditya Gopalan Prateek Jain Gustavo de Veciana Sumohana S. Channappayya Harish Ganapathy Robert (Bob) Daniels