Challenges of Big Data Analysis

7 August 2013

Papers citing "Challenges of Big Data Analysis"

49 / 99 papers shown

Title
$Sparse recovery via nonconvex regularized $M$-estimators over $\ell_q$-balls$ Sparse recovery via nonconvex regularized $M$ -estimators over $\ell_q$ -balls Xin Li Dongya Wu Chong Li Jinhua Wang J. Yao FedML 11 4 0 19 Nov 2019
Integrative Factor Regression and Its Inference for Multimodal Data Analysis Quefeng Li Lexin Li 9 26 0 11 Nov 2019
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation Yundong Zhang Hang Wu Huiye Liu L. Tong May D. Wang OOD 11 10 0 12 Oct 2019
Asymptotics of empirical eigenvalues for large separable covariance matrices Tiebin Mi Robert C. Qiu 10 0 0 10 Oct 2019
Optimal estimation of functionals of high-dimensional mean and covariance matrix Jianqing Fan Haolei Weng Yifeng Zhou 16 7 0 20 Aug 2019
High dimensional statistical inference: theoretical development to data analytics D. Ayyala 10 2 0 19 Aug 2019
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 11 12 0 25 Jun 2019
Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection A. H. Poorjam M. Kavalekalam Liming Shi Yordan P. Raykov Jesper Rindom Jensen Max A. Little M. G. Christensen 16 18 0 28 May 2019
Adaptive Huber Regression on Markov-dependent Data Jianqing Fan Yongyi Guo Bai Jiang 15 12 0 18 Apr 2019
Making a Case for Social Media Corpus for Detecting Depression Adil E. Rajput Samara M. Ahmed 14 10 0 02 Feb 2019
Stochastic Frank-Wolfe for Composite Convex Minimization Francesco Locatello A. Yurtsever Olivier Fercoq V. Cevher 14 15 0 29 Jan 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension Yinqiu He Tiefeng Jiang Jiyang Wen Gongjun Xu 18 11 0 17 Dec 2018
Variational Bayesian Weighted Complex Network Reconstruction Shuang Xu Chunxia Zhang Pei Wang Jiangshe Zhang 19 12 0 11 Dec 2018
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data Xue Wang Mike Mingcheng Wei Tao Yao 13 4 0 07 Dec 2018
Goodness-of-Fit Tests for Large Datasets Taras Lazariv C. Lehmann 11 9 0 23 Oct 2018
Asymptotically Independent U-Statistics in High-Dimensional Testing Yinqiu He Gongjun Xu Chong Wu Wei Pan 10 45 0 02 Sep 2018
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval Jianqing Fan Han Liu Zhaoran Wang Zhuoran Yang 14 21 0 21 Aug 2018
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning Fei Wen L. Chu Peilin Liu Robert C. Qiu 21 151 0 16 Aug 2018
Tensor Methods for Additive Index Models under Discordance and Heterogeneity Krishnakumar Balasubramanian Jianqing Fan Zhuoran Yang 14 11 0 17 Jul 2018
Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging Shan Shi F. Nathoo 6 0 0 17 Jun 2018
Statistical Validity and Consistency of Big Data Analytics: A General Framework B. Karmakar I. Mukhopadhyay 19 1 0 29 Mar 2018
Shamap: Shape-based Manifold Learning Fenglei Fan Hongming Shan Yueyang Teng Ge Wang 10 0 0 15 Feb 2018
ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models Talal Ahmed W. Bajwa 19 9 0 21 Aug 2017
Adjusting systematic bias in high dimensional principal component scores Sungkyu Jung 6 4 0 16 Aug 2017
Cloud Computing - Architecture and Applications Jaydip Sen Shanrong Zhao Xiaoying Wang Guojing Zhang Mengqin Yang ... M. A. Ashraf W. T. Sethi Abdullah Alfakhri S. Alshebeili A. Alasaad GNN 10 3 0 29 Jul 2017
Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline K. Feldman Louis Faust X. Wu Chao Huang Nitesh V. Chawla 14 18 0 01 Jun 2017
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation Stanislav Minsker Nate Strawn 12 62 0 09 Apr 2017
Enabling Smart Data: Noise filtering in Big Data classification Diego García-Gil Julián Luengo S. García Francisco Herrera 14 129 0 06 Apr 2017
The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R Yaohui Zeng P. Breheny 17 57 0 20 Jan 2017
Chunked-and-Averaged Estimators for Vector Parameters Hien Nguyen Geoffrey J. McLachlan 12 3 0 20 Dec 2016
Spatio-temporal data mining in ecological and veterinary epidemiology A. Moustakas 11 27 0 13 Dec 2016
Optimal Shrinkage Estimator for High-Dimensional Mean Vector Taras Bodnar Ostap Okhrin Nestor Parolya 14 23 0 28 Oct 2016
Arbres CART et Forêts aléatoires, Importance et sélection de variables Robin Genuer Jean-Michel Poggi 56 10 0 26 Oct 2016
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models Beilun Wang Ritambhara Singh Yanjun Qi 9 12 0 11 May 2016
Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties Fei Wen Yuan Yang Peilin Liu Robert C. Qiu 18 16 0 15 Apr 2016
Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models Xin Ding Ziyi Qiu Xiaohui Chen 30 14 0 14 Apr 2016
GPIC - GPU Power Iteration Cluster G. R. L. Silva Rafael Ribeiro de Medeiros A. Braga D. Vieira 8 1 0 10 Apr 2016
A Block Minorization--Maximization Algorithm for Heteroscedastic Regression Hien Nguyen Luke R. Lloyd‐Jones Geoffrey J. McLachlan 8 2 0 15 Mar 2016
Random Forests for Big Data Robin Genuer Jean-Michel Poggi Christine Tuleau-Malot N. Villa-Vialaneix 15 265 0 26 Nov 2015
Spherical Cap Packing Asymptotics and Rank-Extreme Detection Kai Zhang 13 10 0 19 Nov 2015
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases P. Huijse P. Estévez P. Protopapas José C. Príncipe Pablo Zegers AI4TS AI4CE 26 82 0 25 Sep 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 16 80 0 17 Sep 2015
Statistical Methods and Computing for Big Data Chun Wang Ming-Hui Chen E. Schifano Jing Wu Jun Yan 19 122 0 27 Feb 2015
Are Discoveries Spurious? Distributions of Maximum Spurious Correlations and Their Applications Jianqing Fan Q. Shao Wen-Xin Zhou 27 37 0 14 Feb 2015
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression Y. Ning Tianqi Zhao Han Liu 28 34 0 06 Dec 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 22 83 0 24 Nov 2014
Better Solution Principle: A Facet of Concordance between Optimization and Statistics Shifeng Xiong 32 3 0 16 Feb 2014
Randomized maximum-contrast selection: subagging for large-scale regression Jelena Bradic 41 13 0 14 Jun 2013
Factor modeling for high-dimensional time series: Inference for the number of factors Clifford Lam Q. Yao 38 473 0 04 Jun 2012