Mikael Møller Høgsgaard
8 papers · 2023–2026 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(10)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(12)
Conferences
ICML (4)
ALT (2)
NIPS (2)
Top co-authors
Keywords
sample complexity
(3)
boosting algorithm
(3)
weak learner
(2)
ensemble learning
(2)
majority vote
(1)
parallel computing
(1)
sparse matrix
(1)
ensemble method
(1)
weak-to-strong learning
(1)
weak classifier
(1)
strong learner
(1)
weak-to-strong learner
(1)
hadamard matrix
(1)
johnson-lindenstrauss lemma
(1)
strong learning
(1)
weak learning
(1)
agnostic boosting
(1)
dimensionality reduction
(1)
running time
(1)
learning theory
(1)
Papers
Sample-Near-Optimal Agnostic Boosting with Improved Running Time
ALT 2026
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
ICML 2025
Understanding Aggregations of Proper Learners in Multiclass Classification
ALT 2025
Optimal Parallelization of Boosting
NIPS 2024
The Many Faces of Optimal Weak-to-Strong Learning
NIPS 2024
Sparse Dimensionality Reduction Revisited
ICML 2024
AdaBoost is not an Optimal Weak to Strong Learner
ICML 2023
The Fast Johnson-Lindenstrauss Transform Is Even Faster
ICML 2023