v1v2 (latest)

Robust Learning of Fixed-Structure Bayesian Networks

Neural Information Processing Systems (NeurIPS), 2016

23 June 2016

Papers citing "Robust Learning of Fixed-Structure Bayesian Networks"

32 / 32 papers shown

Title
MBGDT:Robust Mini-Batch Gradient Descent Hanming Wang Haozheng Luo Yue Wang 83 5 0 14 Jun 2022
Streaming Algorithms for High-Dimensional Robust StatisticsInternational Conference on Machine Learning (ICML), 2022 Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas 203 22 0 26 Apr 2022
Robust Estimation for Random GraphsAnnual Conference Computational Learning Theory (COLT), 2021 Jayadev Acharya Ayush Jain Gautam Kamath A. Suresh Huanyu Zhang 183 9 0 09 Nov 2021
Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation Ilias Diakonikolas D. Kane Daniel Kongsgaard Haibin Zhang Kevin Tian FedML 160 22 0 16 Jun 2021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear TimeInternational Conference on Learning Representations (ICLR), 2021 Yu Cheng Honghao Lin OOD 117 0 0 12 May 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's ConditionAnnual Conference Computational Learning Theory (COLT), 2021 Ilias Diakonikolas D. Kane Alistair Stewart Yuxin Sun 146 18 0 03 Feb 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy SamplesInternational Conference on Machine Learning (ICML), 2021 Anshoo Tandon Aldric H. J. Yuan Vincent Y. F. Tan 126 9 0 22 Jan 2021
Robustly Learning Mixtures of $k$ Arbitrary GaussiansSymposium on the Theory of Computing (STOC), 2020 Ainesh Bakshi Ilias Diakonikolas Hengrui Jia D. Kane Pravesh Kothari Santosh Vempala 270 72 0 03 Dec 2020
The FEDHC Bayesian network learning algorithm M. Tsagris 198 4 0 30 Nov 2020
List-Decodable Mean Estimation in Nearly-PCA TimeNeural Information Processing Systems (NeurIPS), 2020 Ilias Diakonikolas D. Kane Daniel Kongsgaard Haibin Zhang Kevin Tian 143 17 0 19 Nov 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu Omer Reingold OOD 334 7 0 18 Aug 2020
List-Decodable Mean Estimation via Iterative Multi-Filtering Ilias Diakonikolas D. Kane Daniel Kongsgaard 111 24 0 18 Jun 2020
Robustly Learning any Clusterable Mixture of Gaussians Ilias Diakonikolas Samuel B. Hopkins D. Kane Sushrut Karmalkar 143 47 0 13 May 2020
Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples Anshoo Tandon Vincent Y. F. Tan Shiyao Zhu 113 7 0 09 May 2020
Outlier-Robust High-Dimensional Sparse Estimation via Iterative FilteringNeural Information Processing Systems (NeurIPS), 2019 Ilias Diakonikolas Sushrut Karmalkar D. Kane Eric Price Alistair Stewart 78 41 0 19 Nov 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 193 192 0 14 Nov 2019
Faster Algorithms for High-Dimensional Robust Covariance EstimationAnnual Conference Computational Learning Theory (COLT), 2019 Yu Cheng Ilias Diakonikolas Rong Ge David P. Woodruff 125 67 0 11 Jun 2019
How Hard Is Robust Mean Estimation?Annual Conference Computational Learning Theory (COLT), 2019 Samuel B. Hopkins Jerry Li 119 38 0 19 Mar 2019
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms Mohamed El Yafrani M. Martins M. Delgado Inkyung Sung R. Lüders Markus Wagner TPM 89 0 0 15 Feb 2019
High-Dimensional Robust Mean Estimation in Nearly-Linear TimeACM-SIAM Symposium on Discrete Algorithms (SODA), 2018 Yu Cheng Ilias Diakonikolas Rong Ge 113 126 0 23 Nov 2018
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation T. Bouwmans S. Javed M. Sultana Soon Ki Jung 135 324 0 13 Nov 2018
Robust Estimation and Generative Adversarial Nets Chao Gao Jiyi Liu Yuan Yao Weizhi Zhu 226 29 0 04 Oct 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression Ilias Diakonikolas Weihao Kong Alistair Stewart 175 166 0 31 May 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 155 302 0 07 Mar 2018
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians Ilias Diakonikolas D. Kane Alistair Stewart 192 150 0 20 Nov 2017
Learning Geometric Concepts with Nasty Noise Ilias Diakonikolas D. Kane Alistair Stewart AAML 147 92 0 05 Jul 2017
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Ankur Moitra Alistair Stewart 158 139 0 12 Apr 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers Jacob Steinhardt Moses Charikar Gregory Valiant 239 142 0 15 Mar 2017
Being Robust (in High Dimensions) Can Be Practical Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Ankur Moitra Alistair Stewart 264 264 0 02 Mar 2017
Robust Sparse Estimation Tasks in High Dimensions Jerry Li 193 27 0 20 Feb 2017
Testing Bayesian Networks C. Canonne Ilias Diakonikolas D. Kane Alistair Stewart TPM 169 74 0 09 Dec 2016
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures Ilias Diakonikolas D. Kane Alistair Stewart 161 241 0 10 Nov 2016