Publications

A selection of academic publications that I have co-authored

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  • Optimization and Algorithms in Sparse Regression

    Johan Larsson
    PhD Thesis, Department of Statistics, Lund University, May. 2024,
     Details  URL  PDF  Code

  • Coordinate Descent for SLOPE

    Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin
    In Proceedings of the 26th international conference on artificial intelligence and statistics, Apr. 2023, vol. 206, pp. 4802–4821.
     Details  URL  PDF  arXiv  Code

  • Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks

    Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoit Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
    In Advances in Neural Information Processing Systems, Dec. 2022, vol. 35, pp. 25404-25421.
     Details  URL  PDF  arXiv  pypi

  • The Hessian Screening Rule

    Johan Larsson, Jonas Wallin
    In Advances in Neural Information Processing Systems, Dec. 2022, vol. 35, pp. 15823-15835.
     Details  URL  PDF  arXiv  Code

  • Look-Ahead Screening Rules for the Lasso

    Johan Larsson
    In 22nd European Young Statisticians Meeting - Proceedings, Athens, Greece, Jun. 2021, pp. 61-65.
     Details  PDF  arXiv  Code

  • The Strong Screening Rule for SLOPE

    Johan Larsson, Małgorzata Bogdan, Jonas Wallin
    In Advances in Neural Information Processing Systems, Dec. 2020, vol. 33, pp. 14592-14603.
     Details  URL  PDF  arXiv  Code

  • A Case Study in Fitting Area-Proportional Euler Diagrams with Ellipses Using eulerr

    Johan Larsson, Peter Gustafsson
    In Proceedings of International Workshop on Set Visualization and Reasoning, Edinburgh, United Kingdom, Jun. 2018, vol. 2116, pp. 84-91.
     Details  PDF  Code  CRAN

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