Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection

26 June 2019

Papers citing "Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection"

32 / 32 papers shown

Title
$A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise$ A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise R. I. Oliveira Zoraida F. Rico Philip Thompson 65 0 0 06 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 89 4 0 24 Aug 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 83 6 0 09 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares Ilias Diakonikolas D. Kane Sushrut Karmalkar Ankit Pensia Thanasis Pittas 76 22 0 07 Jun 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao Basel Alomair Michael I. Jordan FedML 179 30 0 24 May 2022
Private Robust Estimation by Stabilizing Convex Relaxations Pravesh Kothari Pasin Manurangsi A. Velingker 76 47 0 07 Dec 2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph Xiaofei Sun Jiwei Li Xiaoya Li Ziyao Wang Tianwei Zhang Han Qiu Leilei Gan Chun Fan AAML TDI 74 5 0 29 Nov 2021
Private and polynomial time algorithms for learning Gaussians and beyond H. Ashtiani Christopher Liaw 131 48 0 22 Nov 2021
Robust Estimation for Random Graphs Jayadev Acharya Ayush Jain Gautam Kamath A. Suresh Huanyu Zhang 93 9 0 09 Nov 2021
Heavy-tailed Streaming Statistical Estimation Che-Ping Tsai Adarsh Prasad Sivaraman Balakrishnan Pradeep Ravikumar 86 10 0 25 Aug 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 102 50 0 24 Jun 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates A. Jambulapati Jingkai Li T. Schramm Kevin Tian AAML 74 17 0 22 Jun 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 80 157 0 22 Apr 2021
Robust and Differentially Private Mean Estimation Xiyang Liu Weihao Kong Sham Kakade Sewoong Oh OOD FedML 101 77 0 18 Feb 2021
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 89 9 0 12 Dec 2020
Optimal Mean Estimation without a Variance Yeshwanth Cherapanamjeri Nilesh Tripuraneni Peter L. Bartlett Michael I. Jordan 77 23 0 24 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 71 14 0 04 Nov 2020
Machine Unlearning for Random Forests Jonathan Brophy Daniel Lowd MU 91 164 0 11 Sep 2020
$Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization$ Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization Jing Liu Aditya Deshmukh Venugopal V. Veeravalli 44 0 0 21 Aug 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu Omer Reingold OOD 100 5 0 18 Aug 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization Samuel B. Hopkins Jingkai Li Fred Zhang OOD 86 62 0 31 Jul 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 80 59 0 30 Jul 2020
Byzantine-Resilient High-Dimensional Federated Learning Deepesh Data Suhas Diggavi FedML AAML 72 42 0 22 Jun 2020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing A. Jambulapati Jingkai Li Kevin Tian 116 42 0 12 Jun 2020
Robust estimation via generalized quasi-gradients Banghua Zhu Jiantao Jiao Jacob Steinhardt 78 43 0 28 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 99 91 0 16 May 2020
Robustly Learning any Clusterable Mixture of Gaussians Ilias Diakonikolas Samuel B. Hopkins D. Kane Sushrut Karmalkar 87 45 0 13 May 2020
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 114 25 0 04 Feb 2020
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond Yeshwanth Cherapanamjeri Samuel B. Hopkins Tarun Kathuria P. Raghavendra Nilesh Tripuraneni 148 39 0 23 Dec 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 113 184 0 14 Nov 2019
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates Zhixian Lei K. Luh Prayaag Venkat Fred Zhang 114 35 0 13 Aug 2019
A Unified Approach to Robust Mean Estimation Adarsh Prasad Sivaraman Balakrishnan Pradeep Ravikumar 55 27 0 01 Jul 2019