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Aviv Rosenberg

20 papers · 2019–2025 · 7 venues · across top CS/AI venues

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Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (25) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (76)

Venues

NeurIPS (7) ICML (6) AAAI (2) COLT (2) ICLR (1) IJCAI (1) JMLR (1)

Top co-authors

Yishay Mansour (9) Tal Lancewicki (6) Asaf Cassel (3) Haipeng Luo (3) Lior Shani (2) Shie Mannor (2) NicolΓ² Cesa-bianchi (2) Yonathan Efroni (2) Dmitry Sotnikov (2) Daniele Calandriello (2)

Research topics

Machine Learning (18) Optimization & Theory (15) Reinforcement Learning (14) Methods (13) Learning Types (8) Mathematics & Optimization (7) Optimization (7) Artificial Intelligence (4) Core AI (4) Applications (3) Computer Science (1) Natural Language Processing (1) Foundations (1) Generation (1)

Keywords

regret bound (13) reinforcement learning (8) markov decision process (8) policy optimization (7) online learning (6) delayed feedback (5) stochastic shortest path (5) bandit feedback (5) adversarial mdp (3) adversarial learning (3) follow the regularized leader (2) combinatorial semi-bandit (2) linear bandit (2) deep reinforcement learning (2) regret minimization (2) optimal policy (2) linear mdp (2) language model alignment (1) randomized rounding (1) chain-of-thought reasoning (1)

Papers

A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025 Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025 Multi-turn Reinforcement Learning with Preference Human Feedback NeurIPS 2024 Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback ICML 2024 Online Weighted Paging with Unknown Weights NeurIPS 2024 Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NeurIPS 2024 A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs COLT 2023 Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Cooperative Online Learning in Stochastic and Adversarial MDPs ICML 2022 Learning Adversarial Markov Decision Processes with Delayed Feedback AAAI 2022 Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback NeurIPS 2022 Policy Optimization for Stochastic Shortest Path COLT 2022 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure NeurIPS 2021 Stochastic Shortest Path with Adversarially Changing Costs IJCAI 2021 Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Online Convex Optimization in Adversarial Markov Decision Processes ICML 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019