Lior Kamma

5 papers · 2018–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICML (2)

Top co-authors

Kasper Green Larsen (5) Allan Grønlund (3) Jelani Nelson (2) Chris Schwiegelshohn (1) Casper B. Freksen (1) Alexander Mathiasen (1) Mikael Møller Høgsgaard (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Core Methods (3) Mathematics & Optimization (2) Application Areas (1) Learning Types (1) Mathematics (1) Optimization (1)

Keywords

generalization bound (3) margin theory (2) dimensionality reduction (2) 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) johnson-lindenstrauss transform (1) sparse embedding (1) euclidean norm (1) asymptotic bound (1) norm preservation (1) margin-based bound (1) euclidean norm preservation (1)

Papers

Sparse Dimensionality Reduction Revisited ICML 2024 Margins are Insufficient for Explaining Gradient Boosting NeurIPS 2020 Near-Tight Margin-Based Generalization Bounds for Support Vector Machines ICML 2020 Margin-Based Generalization Lower Bounds for Boosted Classifiers NeurIPS 2019 Fully Understanding The Hashing Trick NeurIPS 2018