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Bayesian Robustness: A Nonasymptotic Viewpoint

Bayesian Robustness: A Nonasymptotic Viewpoint

27 July 2019
Kush S. Bhatia
Yian Ma
Anca Dragan
Peter L. Bartlett
Michael I. Jordan
ArXivPDFHTML

Papers citing "Bayesian Robustness: A Nonasymptotic Viewpoint"

15 / 15 papers shown
Title
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable
  Selection
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection
Qifan Song
Y. Sun
Mao Ye
F. Liang
BDL
28
17
0
07 Feb 2020
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
A. Suggala
Kush S. Bhatia
Pradeep Ravikumar
Prateek Jain
44
47
0
19 Mar 2019
Sampling Can Be Faster Than Optimization
Sampling Can Be Faster Than Optimization
Yian Ma
Yuansi Chen
Chi Jin
Nicolas Flammarion
Michael I. Jordan
65
184
0
20 Nov 2018
Efficient Algorithms for Outlier-Robust Regression
Efficient Algorithms for Outlier-Robust Regression
Adam R. Klivans
Pravesh Kothari
Raghu Meka
AAML
46
154
0
08 Mar 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
57
289
0
07 Mar 2018
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
57
221
0
19 Feb 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi
Yuansi Chen
Martin J. Wainwright
Bin Yu
66
254
0
08 Jan 2018
Convergence of Langevin MCMC in KL-divergence
Convergence of Langevin MCMC in KL-divergence
Xiang Cheng
Peter L. Bartlett
47
190
0
25 May 2017
Agnostic Estimation of Mean and Covariance
Agnostic Estimation of Mean and Covariance
Kevin A. Lai
Anup B. Rao
Santosh Vempala
79
344
0
24 Apr 2016
Robust Estimators in High Dimensions without the Computational
  Intractability
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
68
510
0
21 Apr 2016
A General Method for Robust Bayesian Modeling
A General Method for Robust Bayesian Modeling
Chong-Jun Wang
David M. Blei
OOD
40
53
0
17 Oct 2015
Non-asymptotic convergence analysis for the Unadjusted Langevin
  Algorithm
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
64
412
0
17 Jul 2015
Robust Regression via Hard Thresholding
Robust Regression via Hard Thresholding
Kush S. Bhatia
Prateek Jain
Purushottam Kar
AAML
OOD
47
157
0
08 Jun 2015
Theoretical guarantees for approximate sampling from smooth and
  log-concave densities
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
66
514
0
23 Dec 2014
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Stanislav Minsker
Sanvesh Srivastava
Lizhen Lin
David B. Dunson
96
110
0
11 Mar 2014
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