Tavor Baharav

5 papers · 2019–2023 · 3 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 · Silver 🗺️ Taxonomy Completionist (12)

Venues

NeurIPS (3) ICML (1) JMLR (1)

Top co-authors

David Tse (2) Amir Leshem (1) Tze Leung Lai (1) Ilai Bistritz (1) Yanjun Han (1) Nicholas Bambos (1) Ilan Shomorony (1) Jiantao Jiao (1) Yifei Wang (1) Govinda Kamath (1)

Research topics

Machine Learning (5) Mathematics & Optimization (3) Optimization (3) Optimization & Theory (3) Data Science & Analytics (2) Applications (2) Learning Types (2) Artificial Intelligence (1) Healthcare & Medicine (1) Application Areas (1) Core AI (1) Core Methods (1) Research (1)

Keywords

multi-armed bandit (5) stochastic optimization (1) online learning (1) robust statistics (1) sample complexity (1) distributed learning (1) outlier detection (1) median estimation (1) sequence alignment (1) distance computation (1) spectral decomposition (1) regret bound (1) online algorithm (1) randomized algorithm (1) max-min fairness (1) data depth (1) simplicial depth (1) distribution-free test (1) sequential halving (1) distribution functional (1)

Papers

Adaptive Data Depth via Multi-Armed Bandits JMLR 2023 Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits NeurIPS 2022 Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment NeurIPS 2020 My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020 Ultra Fast Medoid Identification via Correlated Sequential Halving NeurIPS 2019