Selective inference for k-means clustering

29 March 2022

Papers citing "Selective inference for k-means clustering"

25 / 25 papers shown

Title
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy Ichiro Takeuchi 68 36 0 11 May 2021
Selective Inference for Hierarchical Clustering Lucy L. Gao Jacob Bien Daniela Witten 49 97 0 05 Dec 2020
Scientific intuition inspired by machine learning generated hypotheses Pascal Friederich Mario Krenn Isaac Tamblyn Alán Aspuru-Guzik AI4CE 82 34 0 27 Oct 2020
Selective Inference for Additive and Linear Mixed Models David Rügamer Philipp F. M. Baumann S. Greven 80 11 0 15 Jul 2020
Finite mixture models do not reliably learn the number of components Diana Cai Trevor Campbell Tamara Broderick 62 23 0 08 Jul 2020
Selective Inference for Latent Block Models C. Watanabe Taiji Suzuki 18 5 0 27 May 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming Vo Nguyen Le Duy Hiroki Toda Ryota Sugiyama Ichiro Takeuchi 56 39 0 21 Feb 2020
Optimality of Spectral Clustering in the Gaussian Mixture Model Matthias Löffler A. Zhang Harrison H. Zhou 122 86 0 01 Nov 2019
On posterior contraction of parameters and interpretability in Bayesian mixture modeling Aritra Guha Nhat Ho X. Nguyen 63 57 0 15 Jan 2019
Adaptive robust estimation in sparse vector model L. Comminges O. Collier M. Ndaoud Alexandre B. Tsybakov 102 16 0 12 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 205 9,492 0 09 Feb 2018
Valid Inference Corrected for Outlier Removal Shuxiao Chen Jacob Bien 73 55 0 29 Nov 2017
Sparse covariance matrix estimation in high-dimensional deconvolution Denis Belomestny Mathias Trabs Alexandre B. Tsybakov 65 10 0 30 Oct 2017
Permutation methods for factor analysis and PCA Yan Sun 63 54 0 02 Oct 2017
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants Yu Lu Harrison H. Zhou 277 109 0 07 Dec 2016
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees Xinyang Yi Constantine Caramanis 55 81 0 27 Nov 2015
Selective inference in regression models with groups of variables Joshua R. Loftus Jonathan E. Taylor 44 45 0 04 Nov 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection Robert Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 189 105 0 20 Jun 2015
Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model Mengjie Chen Chao Gao Zhao Ren 114 167 0 01 Jun 2015
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 303 336 0 09 Oct 2014
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 323 482 0 09 Aug 2014
Influential Feature PCA for high dimensional clustering Jiashun Jin Wanjie Wang 151 80 0 20 Jul 2014
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 217 736 0 25 Nov 2013
Hypothesis test for normal mixture models: The EM approach Jiahua Chen Pengfei Li VLM 132 190 0 24 Aug 2009
Covariance regularization by thresholding Peter J. Bickel Elizaveta Levina 214 1,277 0 20 Jan 2009