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Challenges of Big Data Analysis

7 August 2013

Papers citing "Challenges of Big Data Analysis"

30 / 30 papers shown

Title
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Xiwei Xu AI4TS AI4CE 91 4 0 13 Mar 2025
A systematic data characteristic understanding framework towards physical-sensor big data challenges Zhipeng Ma Bo Nørregaard Jørgensen Z. Ma AI4CE 75 7 0 22 Jan 2025
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation Tunazzina Islam Dan Goldwasser 142 2 0 07 Oct 2024
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 119 175 0 20 Jun 2013
Oracle inequalities for the lasso in the Cox model Jian Huang Tingni Sun Z. Ying Yibin Yu Cun-Hui Zhang 86 125 0 20 Jun 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 289 517 0 10 May 2013
Regularized rank-based estimation of high-dimensional nonparanormal graphical models Lingzhou Xue H. Zou 120 263 0 13 Feb 2013
The Nonparanormal SKEPTIC Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 548 197 0 27 Jun 2012
Factor modeling for high-dimensional time series: Inference for the number of factors Clifford Lam Q. Yao 151 483 0 04 Jun 2012
Covariate assisted screening and estimation Z. Ke Jiashun Jin Jianqing Fan 108 21 0 21 May 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 91 407 0 10 Feb 2012
Large Covariance Estimation by Thresholding Principal Orthogonal Complements Jianqing Fan Yuan Liao Martina Mincheva 134 854 0 30 Dec 2011
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 117 562 0 16 Sep 2011
A Direct Estimation Approach to Sparse Linear Discriminant Analysis Tony Cai Weidong Liu 68 282 0 18 Jul 2011
Large Vector Auto Regressions Song Song Peter J. Bickel AI4TS 142 183 0 20 Jun 2011
Parallel Coordinate Descent for L1-Regularized Loss Minimization Joseph K. Bradley Aapo Kyrola Danny Bickson Carlos Guestrin 100 309 0 26 May 2011
Posterior consistency of nonparametric conditional moment restricted models Yuan Liao Wenxin Jiang 66 33 0 24 May 2011
Fast global convergence of gradient methods for high-dimensional statistical recovery Alekh Agarwal S. Negahban Martin J. Wainwright 95 242 0 25 Apr 2011
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions Alekh Agarwal S. Negahban Martin J. Wainwright 225 433 0 23 Feb 2011
Robust rank correlation based screening Gaorong Li Heng Peng Jun Zhang Lixing Zhu 137 323 0 20 Dec 2010
Twitter mood predicts the stock market J. Bollen Huina Mao Xiao-Jun Zeng AIFin 112 5,109 0 14 Oct 2010
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression Jianqing Fan Shaojun Guo Ning Hao 120 293 0 29 Apr 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 336 3,567 0 25 Feb 2010
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models Jianqing Fan Yang Feng Rui Song 114 576 0 14 Dec 2009
Sure independence screening in generalized linear models with NP-dimensionality Jianqing Fan Rui Song 177 636 0 30 Mar 2009
Covariance regularization by thresholding Peter J. Bickel Elizaveta Levina 204 1,272 0 20 Jan 2009
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models H. Zou Runze Li 288 1,234 0 07 Aug 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 535 2,530 0 07 Jan 2008
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 215 5,041 0 10 Nov 2007
Pathwise coordinate optimization J. Friedman Trevor Hastie Holger Hofling Robert Tibshirani 263 2,056 0 10 Aug 2007