Julian Zimmert

1. Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
   2019/01/25 by Julian Zimmert, Haipeng Luo, Zimmert, Julian +3 · 7 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
2. Adapting to Misspecification in Contextual Bandits
   2021/07/12 by Dylan J. Foster, Claudio Gentile, Foster, Dylan J. +5 · 10 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
   2019/10/14 by Julian Zimmert, Zimmert, Julian, Yevgeny Seldin +1 · 6 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
4. Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds\n for Episodic Reinforcement Learning
   2021/07/02 by Christoph Dann, Dann, Christoph, Teodor V. Marinov +5 · 5 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
5. Model Selection in Contextual Stochastic Bandit Problems
   2020/03/03 by Aldo Pacchiano, Pacchiano, Aldo, My V. T. Phan +11 · 8 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
6. The Pareto Frontier of model selection for general Contextual Bandits
   2021/10/25 by Teodor V. Marinov, Julian Zimmert, Marinov, Teodor V. +1 · 2 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
7. Best of Both Worlds Policy Optimization
   2023/02/18 by Christoph Dann, Dann, Christoph, Chen-Yu Wei +3 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
8. Refined Regret for Adversarial MDPs with Linear Function Approximation
   2023/01/30 by Yan Dai, Dai, Yan, Haipeng Luo +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
9. Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
   2019/05/28 by Julian Zimmert, Zimmert, Julian, Tor Lattimore +1 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
10. Optimal cross-learning for contextual bandits with unknown context distributions
    2024/01/03 by Jon Schneider, Schneider, Jon, Julian Zimmert +1 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Auction Theory and Applications
11. Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
    2023/10/17 by Haolin Liu, Chen-Yu Wei, Liu, Haolin +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics