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ROCKET: Robust Confidence Intervals via Kendall's Tau for
  Transelliptical Graphical Models
v1v2v3 (latest)

ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models

26 February 2015
Rina Foygel Barber
Mladen Kolar
ArXiv (abs)PDFHTML

Papers citing "ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models"

17 / 17 papers shown
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score MatchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Daniel J. Williams
Leyang Wang
Qizhen Ying
Song Liu
Mladen Kolar
486
2
0
14 Oct 2024
Joint Gaussian Graphical Model Estimation: A Survey
Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai
Oluwasanmi Koyejo
Mladen Kolar
CML
433
34
0
19 Oct 2021
Personalized Federated Learning: A Unified Framework and Universal
  Optimization Techniques
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely
Boxin Zhao
Mladen Kolar
FedML
432
61
0
19 Feb 2021
An Adaptive Stochastic Sequential Quadratic Programming with
  Differentiable Exact Augmented Lagrangians
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented LagrangiansMathematical programming (Math. Program.), 2021
Sen Na
M. Anitescu
Mladen Kolar
349
58
0
10 Feb 2021
A Nonconvex Framework for Structured Dynamic Covariance Recovery
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai
Mladen Kolar
Oluwasanmi Koyejo
488
3
0
11 Nov 2020
Statistical Inference for Networks of High-Dimensional Point Processes
Statistical Inference for Networks of High-Dimensional Point ProcessesJournal of the American Statistical Association (JASA), 2020
Xu Wang
Mladen Kolar
Ali Shojaie
307
16
0
15 Jul 2020
Dependence in elliptical partial correlation graphs
Dependence in elliptical partial correlation graphsElectronic Journal of Statistics (EJS), 2020
D. Rossell
Piotr Zwiernik
283
24
0
28 Apr 2020
FuDGE: A Method to Estimate a Functional Differential Graph in a
  High-Dimensional Setting
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional SettingJournal of machine learning research (JMLR), 2020
Boxin Zhao
Y Samuel Wang
Mladen Kolar
422
14
0
11 Mar 2020
Partially Linear Additive Gaussian Graphical Models
Partially Linear Additive Gaussian Graphical ModelsInternational Conference on Machine Learning (ICML), 2019
Sinong Geng
Minhao Yan
Mladen Kolar
Oluwasanmi Koyejo
208
14
0
08 Jun 2019
Joint Nonparametric Precision Matrix Estimation with Confounding
Joint Nonparametric Precision Matrix Estimation with Confounding
Sinong Geng
Mladen Kolar
Oluwasanmi Koyejo
243
10
0
16 Oct 2018
Learning Influence-Receptivity Network Structure with Guarantee
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu
Varun Gupta
Mladen Kolar
277
8
0
14 Jun 2018
High-Dimensional Inference for Cluster-Based Graphical Models
High-Dimensional Inference for Cluster-Based Graphical Models
Carson Eisenach
F. Bunea
Y. Ning
Claudiu Dinicu
332
9
0
13 Jun 2018
Minimax Estimation of Large Precision Matrices with Bandable Cholesky
  Factor
Minimax Estimation of Large Precision Matrices with Bandable Cholesky FactorAnnals of Statistics (Ann. Stat.), 2017
Yu Liu
Zhao Ren
282
11
0
27 Dec 2017
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
455
30
0
26 Apr 2017
Uniform Inference for High-dimensional Quantile Regression: Linear
  Functionals and Regression Rank Scores
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores
Jelena Bradic
Mladen Kolar
329
27
0
20 Feb 2017
Communication-efficient Distributed Estimation and Inference for
  Transelliptical Graphical Models
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models
Pan Xu
Lu Tian
Quanquan Gu
FedML
237
8
0
29 Dec 2016
A Unified Theory of Confidence Regions and Testing for High Dimensional
  Estimating Equations
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov
Y. Ning
Jun S. Liu
Han Liu
447
79
0
30 Oct 2015
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