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David Bosch

3 papers · 2023–2025 · 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 🌉 Interdisciplinary Bridge · Bronze

Venues

AISTATS (2) COLT (1)

Top co-authors

Ashkan Panahi (3) Babak Hassibi (1) Ayca Ozcelikkale (1) Devdatt Dubhashi (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Core Methods (2) Deep Learning (1) Mathematics & Optimization (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

random feature model (2) learning curve (2) asymptotic analysis (2) random matrix theory (1) deep neural network (1) convex gaussian min-max theorem (1) min-max optimization (1) convex regularization (1) random embedding (1) eigenvalue distribution (1) gaussian min-max theorem (1) regularized regression (1) elastic net (1)

Papers

A Novel Convex Gaussian Min Max Theorem for Repeated Features AISTATS 2025 Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023