| Projective splitting with forward steps PR Johnstone, J Eckstein Mathematical Programming, 1-40, 2022 | 42* | 2022 |
| Faster subgradient methods for functions with Hölderian growth PR Johnstone, P Moulin Mathematical Programming 180 (1), 417-450, 2020 | 42 | 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 | 37* | 2017 |
| Convergence rates for projective splitting PR Johnstone, J Eckstein SIAM Journal on Optimization 29 (3), 1931-1957, 2019 | 25 | 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 | 9 | 2020 |
| 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 | 8 | 2023 |
| Convergence rates of inertial splitting schemes for nonconvex composite optimization PR Johnstone, P Moulin 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 8 | 2017 |
| 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 | 7 | 2023 |
| 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 |
| Kullback-Leibler divergence and the central limit theorem P Moulin, PR Johnstone UCSD Information Theory and Applications Workshop, 2014 | 6 | 2014 |
| 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 |
| 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 |
| Density estimation via measure transport: Outlook for applications in the biological sciences V López‐Marrero, PR Johnstone, G Park, X Luo Statistical Analysis and Data Mining: The ASA Data Science Journal 17 (3 …, 2024 | 1 | 2024 |
| Pathway-based analyses of gene expression profiles at low doses of ionizing radiation X Luo, S Niyakan, P Johnstone, S McCorkle, G Park, V López-Marrero, ... Frontiers in Bioinformatics 4, 1280971, 2024 | 1 | 2024 |
| Stochastic projective splitting PR Johnstone, J Eckstein, T Flynn, S Yoo Computational Optimization and Applications 87 (2), 397-437, 2024 | 1 | 2024 |
| Problem-dependent convergence bounds for randomized linear gradient compression T Flynn, P Johnstone, S Yoo arXiv preprint arXiv:2411.12898, 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 |