Ido Greenberg

5 papers · 2021–2023 · 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 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

NeurIPS (4) ICML (1)

Top co-authors

Shie Mannor (5) Eli Meirom (1) Netanel Yannay (1) Gal Chechik (1) Yinlam Chow (1) Mohammad Ghavamzadeh (1) Stav Belogolovsky (1) Danny Eytan (1)

Research topics

Machine Learning (5) Reinforcement Learning (3) Methods (3) Optimization & Theory (3) Artificial Intelligence (2) Core AI (2) Learning Types (2) Mathematics & Optimization (1) Application Areas (1) Core Methods (1) Learning Paradigms (1) Optimization (1)

Keywords

policy gradient (2) sample efficiency (1) robust optimization (1) episodic learning (1) anomaly detection (1) change detection (1) hypothesis testing (1) statistical testing (1) kalman filter (1) state estimation (1) parameter optimization (1) stochastic differential equation (1) meta-reinforcement learning (1) neural differential equation (1) spectral representation (1) risk measure (1) few-shot adaptation (1) cross-entropy method (1) sequential detection (1) false alarm rate (1)

Papers

Individualized Dosing Dynamics via Neural Eigen Decomposition NeurIPS 2023 Optimization or Architecture: How to Hack Kalman Filtering NeurIPS 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Efficient Risk-Averse Reinforcement Learning NeurIPS 2022 Detecting Rewards Deterioration in Episodic Reinforcement Learning ICML 2021