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Mikael Møller Høgsgaard

Observed names: Høgsgaard, Mikael, Høgsgaard, Mikael Møller, Møller Høgsgaard, Mikael
ORCID: 0000-0002-1286-5971
Observed ORCID: 0000-0002-1286-5971
OpenAlex ID: A5067430268
Majority-of-Three: The Simplest Optimal Learner?
2024 · Aden-Ali, Ishaq, Høgsgaard, Mikael Møller, et al. · arXiv (Cornell University) · 1
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Optimally Interpolating between Ex-Ante Fairness and Welfare
2023 · Høgsgaard, Mikael Møller, Karras, Panagiotis, et al. · arXiv (Cornell University) · 1
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AdaBoost is not an Optimal Weak to Strong Learner
2023 · Høgsgaard, Mikael Møller, Larsen, Kasper Green, et al. · arXiv (Cornell University) · 1
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Reconciling Universal and Uniform Learning with $Q$-Aggregation
2026 · Høgsgaard, Mikael Møller, Rebeschini, Patrick, et al. · arXiv (Cornell University)
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Tight Generalization Bound for AdaBoost
2026 · Høgsgaard, Mikael Møller · arXiv (Cornell University)
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Aggregation with Exponential Weights is Optimal in Expectation
2026 · Høgsgaard, Mikael Møller, Rebeschini, Patrick, et al. · arXiv (Cornell University)
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The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
2026 · Høgsgaard, Mikael Møller, Larsen, Kasper Green, et al. · arXiv (Cornell University)
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Agnostic Language Identification and Generation
2026 · Høgsgaard, Mikael Møller, Pabbaraju, Chirag · arXiv (Cornell University)
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Sample-Near-Optimal Agnostic Boosting with Improved Running Time
2026 · da Cunha, Arthur, Høgsgaard, Mikael Møller, et al. · arXiv (Cornell University)
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The Optimal Sample Complexity of Linear Contracts
2026 · Høgsgaard, Mikael Møller · arXiv (Cornell University)
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Guarantees and Insights in Ensemble Learning
2025 · Høgsgaard, Mikael Møller
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
2025 · Høgsgaard, Mikael Møller, Paudice, Andrea · arXiv (Cornell University)
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Improved Margin Generalization Bounds for Voting Classifiers
2025 · Høgsgaard, Mikael Møller, Larsen, Kasper Green · arXiv (Cornell University)
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On Agnostic PAC Learning in the Small Error Regime
2025 · Julian Asilis, Mikael Møller Høgsgaard, et al. · neural information processing systems
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Revisiting Agnostic Boosting
2025 · Arthur da Cunha, Mikael Møller Høgsgaard, et al. · neural information processing systems
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Understanding Aggregations of Proper Learners in Multiclass Classification
2024 · Asilis, Julian, Høgsgaard, Mikael Møller, et al. · arXiv (Cornell University)
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The Many Faces of Optimal Weak-to-Strong Learning
2024 · Mikael Møller Høgsgaard, Kasper Green Larsen, et al. · neural information processing systems
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Optimal Parallelization of Boosting
2024 · Arthur Da Cunha, Mikael Møller Høgsgaard, et al. · neural information processing systems
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Barriers for Faster Dimensionality Reduction
2023 · Nova Fandina, Ora, Møller Høgsgaard, Mikael, et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
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Barriers for Faster Dimensionality Reduction
2022 · Nova Fandina, Ora, Møller Høgsgaard, Mikael, et al. · arXiv (Cornell University)
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The Fast Johnson-Lindenstrauss Transform is Even Faster
2022 · Fandina, Ora Nova, Høgsgaard, Mikael Møller, et al. · arXiv (Cornell University)
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Compression Implies Generalization
2021 · Grønlund, Allan, Høgsgaard, Mikael, et al. · arXiv (Cornell University)
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Works count: 24
Citation count: 3
H-index: 1
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