| Projective splitting with forward steps PR Johnstone, J Eckstein Mathematical Programming, 1-40, 2022 | 39* | 2022 |
| Faster subgradient methods for functions with Hölderian growth PR Johnstone, P Moulin Mathematical Programming 180 (1), 417-450, 2020 | 36 | 2020 |
| Local and global convergence of a general inertial proximal splitting scheme for minimizing composite functions PR Johnstone, P Moulin Computational Optimization and Applications 67 (2), 259-292, 2017 | 36* | 2017 |
| Convergence rates for projective splitting PR Johnstone, J Eckstein SIAM Journal on Optimization 29 (3), 1931-1957, 2019 | 23 | 2019 |
| Single-forward-step projective splitting: exploiting cocoercivity PR Johnstone, J Eckstein Computational Optimization and Applications 78 (1), 125-166, 2021 | 18 | 2021 |
| Projective splitting with forward steps only requires continuity PR Johnstone, J Eckstein Optimization Letters 14, 229-247, 2020 | 8 | 2020 |
| Convergence rates of inertial splitting schemes for nonconvex composite optimization PR Johnstone, P Moulin 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 7 | 2017 |
| Convergence of an inertial proximal method for l1-regularized least-squares PR Johnstone, P Moulin 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 6 | 2015 |
| Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge G Park, BJ Yoon, X Luo, V López-Marrero, P Johnstone, S Yoo, ... arXiv preprint arXiv:2307.08813, 2023 | 3 | 2023 |
| Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges G Park, BJ Yoon, X Luo, V Lpez-Marrero, P Johnstone, S Yoo, ... The 22nd Workshop on Biomedical Natural Language Processing and BioNLP …, 2023 | 3 | 2023 |
| Stochastic projective splitting: Solving saddle-point problems with multiple regularizers PR Johnstone, J Eckstein, T Flynn, S Yoo arXiv preprint arXiv:2106.13067, 2021 | 2 | 2021 |
| Strong large deviations for Rao test score and GLRT in exponential families P Moulin, PR Johnstone 2015 IEEE International Symposium on Information Theory (ISIT), 779-783, 2015 | 2 | 2015 |
| Inertial iterative thresholding with applications to sparse and low-rank signal recovery P Johnstone University of Illinois at Urbana-Champaign, 2014 | 2 | 2014 |
| Kullback-Leibler divergence and the central limit theorem P Moulin, PR Johnstone UCSD Information Theory and Applications Workshop, 2014 | 2 | 2014 |
| Rfit: a new algorithm for matrix rank minimization PR Johnstone, A Emad, O Milenkovic, P Moulin The 5th Workshop on Signal Processing with Adaptive Sparse Structured …, 2013 | 2 | 2013 |
| Stochastic projective splitting PR Johnstone, J Eckstein, T Flynn, S Yoo Computational Optimization and Applications 87 (2), 397-437, 2024 | 1 | 2024 |
| Correction to: Stochastic projective splitting (Computational Optimization and Applications,(2024), 87, 2,(397-437), 10.1007/s10589-023-00528-6) PR Johnstone, J Eckstein, T Flynn, S Yoo Computational Optimization and Applications 87 (2), 439, 2024 | | 2024 |
| Correction to: Stochastic projective splitting PR Johnstone, J Eckstein, T Flynn, S Yoo Computational Optimization and Applications 87 (2), 439-439, 2024 | | 2024 |
| Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences V Lopez-Marrero, PR Johnstone, G Park, X Luo arXiv preprint arXiv:2309.15366, 2023 | | 2023 |
| Density Estimation via Measure Transport V Lopez-Marrero, P Johnstone, F Alexander, BJ Yoon, X Luo, G Park, ... Brookhaven National Laboratory (BNL), Upton, NY (United States), 2023 | | 2023 |
