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CVXR: An R Package for Disciplined Convex Optimization
21 November 2017
A. Fu
B. Narasimhan
Stephen P. Boyd
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Papers citing
"CVXR: An R Package for Disciplined Convex Optimization"
14 / 14 papers shown
Title
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors
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Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
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Nicolas Bousquet
Fabrice Gamboa
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Holistic Generalized Linear Models
Benjamin Schwendinger
Florian Schwendinger
Laura Vana
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30 May 2022
Multivariate Tie-breaker Designs
Tim P. Morrison
Art B. Owen
24
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21 Feb 2022
scpi: Uncertainty Quantification for Synthetic Control Methods
M. D. Cattaneo
Yingjie Feng
Filippo Palomba
R. Titiunik
55
4
0
12 Feb 2022
Matrix completion with data-dependent missingness probabilities
Sohom Bhattacharya
S. Chatterjee
127
20
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04 Jun 2021
Algorithms for Learning Graphs in Financial Markets
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CML
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126
17
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31 Dec 2020
Eigen-Stratified Models
Jonathan Tuck
Stephen P. Boyd
31
5
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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
88
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
13
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
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