Brian Axelrod

5 papers · 2017–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer

Venues

ICML (3) NeurIPS (1) RSS (1)

Top co-authors

Gregory Valiant (2) Ilias Diakonikolas (1) Vatsal Sharan (1) Sophie Ostmeier (1) Tomás Lozano-Pérez (1) Michael Moseley (1) Benjamin Edelman (1) Leslie Kaelbling (1) Shivam Garg (1) Akshay S Chaudhari (1)

Research topics

Machine Learning (5) Mathematics & Optimization (3) Core Methods (3) Optimization & Theory (3) Optimization (2) Artificial Intelligence (1) Deep Learning (1) Architectures (1) Core AI (1) Learning Types (1) Mathematics (1)

Keywords

causal inference (1) motion planning (1) robot navigation (1) convex optimization (1) game theory (1) maximum likelihood (1) exponential family (1) linear regression (1) distribution learning (1) discrete distribution (1) gaussian distribution (1) gradient approximation (1) first-order method (1) strategic classification (1) safety verification (1) polynomial time algorithm (1) log-concave distribution (1) multivariate distribution (1) rotation matrice (1) decision rule (1)

Papers

LieRE: Lie Rotational Positional Encodings ICML 2025 Causal Strategic Linear Regression ICML 2020 Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020 A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NeurIPS 2019 Provably Safe Robot Navigation with Obstacle Uncertainty RSS 2017