CVXR: An R Package for Disciplined Convex Optimization

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CVXR: An R Package for Disciplined Convex Optimization

21 November 2017

Stephen P. Boyd

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Papers citing "CVXR: An R Package for Disciplined Convex Optimization"

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Title
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors Xuming He Kean Ming Tan Wen-Xin Zhou 48 8 0 11 Dec 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 106 3 0 23 Sep 2022
Holistic Generalized Linear Models Benjamin Schwendinger Florian Schwendinger Laura Vana AI4CE 66 2 0 30 May 2022
Multivariate Tie-breaker Designs Tim P. Morrison Art B. Owen 24 3 0 21 Feb 2022
scpi: Uncertainty Quantification for Synthetic Control Methods M. D. Cattaneo Yingjie Feng Filippo Palomba R. Titiunik 57 4 0 12 Feb 2022
Matrix completion with data-dependent missingness probabilities Sohom Bhattacharya S. Chatterjee 127 20 0 04 Jun 2021
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 126 17 0 31 Dec 2020
Eigen-Stratified Models Jonathan Tuck Stephen P. Boyd 31 5 0 27 Jan 2020
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 102 667 0 28 Oct 2019
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family Trambak Banerjee Qiang Liu Gourab Mukherjee Wengunag Sun 90 8 0 20 Oct 2019
On perfectness in Gaussian graphical models Arash A. Amini Bryon Aragam Qing Zhou 45 7 0 03 Sep 2019
A Python Library For Empirical Calibration Xiaojing Wang Jingang Miao Yunting Sun 15 3 0 27 Jun 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 88 115 0 22 Apr 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 103 50 0 28 Jan 2019