Extragradient method with variance reduction for stochastic variational inequalities AN Iusem, A Jofré, RI Oliveira, P Thompson SIAM Journal on Optimization 27 (2), 686-724, 2017 | 171 | 2017 |
Variance-based extragradient methods with line search for stochastic variational inequalities AN Iusem, A Jofré, RI Oliveira, P Thompson SIAM Journal on Optimization 29 (1), 175-206, 2019 | 74 | 2019 |
Outlier-robust estimation of a sparse linear model using -penalized Huber's -estimator A Dalalyan, P Thompson Advances in neural information processing systems 32, 2019 | 65 | 2019 |
Incremental constraint projection methods for monotone stochastic variational inequalities AN Iusem, A Jofré, P Thompson Mathematics of Operations Research 44 (1), 236-263, 2019 | 48 | 2019 |
On variance reduction for stochastic smooth convex optimization with multiplicative noise A Jofré, P Thompson Mathematical Programming 174, 253-292, 2019 | 39 | 2019 |
CAARMS AR Yung, LJ Phillips, MB Simmons, J Ward, P Thompson, P French, ... Comprehensive assessment at risk mental states. Parkville Victoria: The PACE …, 2006 | 21 | 2006 |
Sample average approximation with heavier tails i: non-asymptotic bounds with weak assumptions and stochastic constraints RI Oliveira, P Thompson Mathematical Programming 199 (I), 1-48, 2023 | 19 | 2023 |
Target separation in SAR image with the MUSIC algorithm P Thompson, M Nannini, R Scheiber 2007 IEEE International Geoscience and Remote Sensing Symposium, 468-471, 2007 | 17 | 2007 |
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion P Thompson arXiv preprint arXiv:2012.06750, 2020 | 10 | 2020 |
Sample average approximation with heavier tails ii: localization in stochastic convex optimization and persistence results for the lasso RI Oliveira, P Thompson Mathematical Programming 199 (I), 49-86, 2023 | 9 | 2023 |
Multi-task dictionary learning based on convolutional neural networks for longitudinal clinical score predictions in Alzheimer’s disease Q Dong, J Zhang, Q Li, PM Thompson, RJ Caselli, J Ye, Y Wang, ... Human Brain and Artificial Intelligence: First International Workshop, HBAI …, 2019 | 8 | 2019 |
Sparse models for imaging genetics J Wang, T Yang, P Thompson, J Ye Machine Learning and Medical Imaging, 129-151, 2016 | 6 | 2016 |
Variance-based stochastic extragradient methods with line search for stochastic variational inequalities A Iusem, A Jofré, RI Oliveira, P Thompson | 3 | 2016 |
Tuulio-Henriksson, T T Cannon, W Hennah, T van Erp, P Thompson, J Lonnqvist, M Huttunen, ... Pirkola, A. Toga, J. Kaprio, J. Mazziotta, and L. Peltonen. DISC1/TRAX …, 2005 | 2 | 2005 |
Working memory, prefrontal cortex, and QTLs for schizophrenia T Cannon, L Peltonen, J Lonnqvist, W Hennah, P Thompson, AW Toga, ... Biological Psychiatry 55, 44S-44S, 2004 | 2 | 2004 |
Restricted eigenvalue property for corrupted gaussian designs P Thompson, AS Dalalyan arXiv preprint arXiv:1805.08020, 2018 | 1 | 2018 |
A site-wise reliability analysis of the ABCD diffusion fractional anisotropy data, impact of the scanner and analytical pipeline Y Pan, LE Hong, A Acheson, P Thompson, N Jahanshad, J Yu, C Chen, ... | | 2024 |
Outlier-robust additive matrix decomposition and robust matrix completion P Thompson arXiv preprint arXiv:2310.19136, 2023 | | 2023 |
A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance\& heterogeneous noise RI Oliveira, ZF Rico, P Thompson arXiv preprint arXiv:2209.02856, 2022 | | 2022 |
Large-scale ENIGMA Consortium analysis of brain anatomical asymmetries in schizophrenia D Schijven, SE Fisher, B Franke, DC Glahn, RC Gur, R Hashimoto, ... the 2021 Society of Biological Psychiatry (SOBP) Annual Meeting, 2021 | | 2021 |