Alina Beygelzimer

13 papers · 2010–2021 · 6 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25)

📈 Trend Setter 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (66)

Venues

ICML (5) NeurIPS (4) AISTATS (1) COLT (1) IJCAI (1) JMLR (1)

Top co-authors

John Langford (6) Satyen Kale (3) Daniel J. Hsu (3) Haipeng Luo (3) Chicheng Zhang (3) Alekh Agarwal (2) Daniel Hsu (1) Dávid Pál (1) Hanna Wallach (1) Hugo Larochelle (1)

Research topics

Machine Learning (11) Optimization & Theory (9) Core Methods (8) Learning Types (6) Artificial Intelligence (5) Core AI (4) Mathematics & Optimization (2) Application Areas (2) Learning Paradigms (2) Optimization (2) Computer Science (1) Applications (1)

Keywords

online learning (5) supervised learning (2) regret bound (2) active learning (2) multi-class classification (2) binary classification (1) adaptive learning (1) representation learning (1) sample complexity (1) agnostic learning (1) feature learning (1) policy learning (1) efficient computing (1) computational efficiency (1) nearest neighbor (1) classification (1) fair classification (1) gradient boosting (1) conference proceedings (1) ensemble learning (1)

Papers

Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) JMLR 2021 Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case ICML 2019 Conference on Learning Theory 2019: Preface COLT 2019 Contextual Memory Trees ICML 2019 A Reductions Approach to Fair Classification ICML 2018 Efficient Online Bandit Multiclass Learning with Õ(√T) Regret ICML 2017 Optimal and Adaptive Algorithms for Online Boosting IJCAI 2016 Search Improves Label for Active Learning NeurIPS 2016 Online Gradient Boosting NeurIPS 2015 Optimal and Adaptive Algorithms for Online Boosting ICML 2015 Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011 Agnostic Active Learning Without Constraints NeurIPS 2010