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Po-Ling Loh
Po-Ling Loh
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High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
PL Loh, MJ Wainwright
Advances in neural information processing systems 24, 2011
6422011
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
PL Loh, MJ Wainwright
Advances in Neural Information Processing Systems 26, 2013
5752013
Statistical consistency and asymptotic normality for high-dimensional robust -estimators
PL Loh
2262017
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
PL Loh, MJ Wainwright
Advances in Neural Information Processing Systems 25, 2012
2072012
Support recovery without incoherence: A case for nonconvex regularization
PL Loh, MJ Wainwright
1842017
High-dimensional learning of linear causal networks via inverse covariance estimation
PL Loh, P Bühlmann
The Journal of Machine Learning Research 15 (1), 3065-3105, 2014
1762014
Machine learning to detect signatures of disease in liquid biopsies–a user's guide
J Ko, SN Baldassano, PL Loh, K Kording, B Litt, D Issadore
Lab on a Chip 18 (3), 395-405, 2018
1222018
Generalization error bounds for noisy, iterative algorithms
A Pensia, V Jog, PL Loh
2018 IEEE International Symposium on Information Theory (ISIT), 546-550, 2018
1082018
Adversarial risk bounds via function transformation
J Khim, PL Loh
arXiv preprint arXiv:1810.09519, 2018
1072018
Optimal rates for community estimation in the weighted stochastic block model
M Xu, V Jog, PL Loh
The Annals of Statistics 48 (1), 183-204, 2020
712020
Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence
V Jog, PL Loh
arXiv preprint arXiv:1509.06418, 2015
692015
High-dimensional robust precision matrix estimation: Cellwise corruption under -contamination
PL Loh, XL Tan
572018
Confidence sets for the source of a diffusion in regular trees
J Khim, PL Loh
IEEE Transactions on Network Science and Engineering 4 (1), 27-40, 2016
532016
Robust regression with covariate filtering: Heavy tails and adversarial contamination
A Pensia, V Jog, PL Loh
arXiv preprint arXiv:2009.12976, 2020
492020
Does data augmentation lead to positive margin?
S Rajput, Z Feng, Z Charles, PL Loh, D Papailiopoulos
International Conference on Machine Learning, 5321-5330, 2019
412019
Analysis of centrality in sublinear preferential attachment trees via the Crump-Mode-Jagers branching process
V Jog, PL Loh
IEEE Transactions on Network Science and Engineering 4 (1), 1-12, 2016
342016
Corrupted and missing predictors: Minimax bounds for high-dimensional linear regression
PL Loh, MJ Wainwright
2012 IEEE International Symposium on Information Theory Proceedings, 2601-2605, 2012
322012
RNN-Based online anomaly detection in nuclear reactors for highly imbalanced datasets with uncertainty
M Kim, E Ou, PL Loh, T Allen, R Agasie, K Liu
Nuclear Engineering and Design 364, 110699, 2020
292020
Extracting robust and accurate features via a robust information bottleneck
A Pensia, V Jog, PL Loh
IEEE Journal on Selected Areas in Information Theory 1 (1), 131-144, 2020
262020
Resource allocation for machine learning
RSB Nowozin, PL Loh
US Patent 10,417,575, 2019
262019
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Artikelen 1–20