Høgsgaard, Mikael Møller

9 publications

NeurIPS 2025 On Agnostic PAC Learning in the Small Error Regime Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

NeurIPS 2025 Revisiting Agnostic Boosting Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice, Yuxin Sun

ALT 2025 Understanding Aggregations of Proper Learners in Multiclass Classification Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

ICML 2025 Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means Mikael Møller Høgsgaard, Andrea Paudice

NeurIPS 2024 Optimal Parallelization of Boosting Arthur da Cunha, Mikael Møller Høgsgaard, Kasper Green Larsen

ICML 2024 Sparse Dimensionality Reduction Revisited Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen, Jelani Nelson, Chris Schwiegelshohn

NeurIPS 2024 The Many Faces of Optimal Weak-to-Strong Learning Mikael Møller Høgsgaard, Kasper Green Larsen, Markus Engelund Mathiasen

ICML 2023 AdaBoost Is Not an Optimal Weak to Strong Learner Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert

ICML 2023 The Fast Johnson-Lindenstrauss Transform Is Even Faster Ora Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen