Lior Kamma
5 papers · 2018–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🗺️ Taxonomy Completionist (10)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
📈
Trend Setter
Conferences
NIPS (3)
ICML (2)
Top co-authors
Keywords
generalization bound
(3)
margin theory
(2)
binary classification
(1)
ensemble learning
(1)
statistical learning theory
(1)
dimension reduction
(1)
gradient boosting
(1)
spectral norm
(1)
feature hashing
(1)
support vector machine
(1)
random projection
(1)
sparse projection
(1)
lower bound
(1)
euclidean norm
(1)
asymptotic bound
(1)
norm preservation
(1)
margin-based bound
(1)
dimensionality reduction
(1)
euclidean norm preservation
(1)
learning theory
(1)
Papers
Sparse Dimensionality Reduction Revisited
ICML 2024
Margins are Insufficient for Explaining Gradient Boosting
NIPS 2020
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
ICML 2020
Margin-Based Generalization Lower Bounds for Boosted Classifiers
NIPS 2019
Fully Understanding The Hashing Trick
NIPS 2018