Sattar Vakili

1. Deterministic Sequencing of Exploration and Exploitation for Multi-Armed Bandit Problems
   2011/06/30 by Sattar Vakili, Keqin Liu, Vakili, Sattar +3 · 2 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Optimization and Search Problems
2. Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity
   2025/05/16 by Davide Buffelli, Hsu, Chan-Jan, Jamie McGowan +10 · 11 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
3. Scalable Thompson Sampling using Sparse Gaussian Process Models
   2020/06/09 by Sattar Vakili, Henry B. Moss, Vakili, Sattar +7 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
4. Open Problem: Tight Online Confidence Intervals for RKHS Elements
   2021/10/28 by Sattar Vakili, Jonathan Scarlett, Vakili, Sattar +3 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
5. Delayed Feedback in Kernel Bandits
   2023/02/01 by Sattar Vakili, Vakili, Sattar, Danyal Ahmed +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
6. Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
   2022/02/08 by Sattar Vakili, Jonathan Scarlett, Vakili, Sattar +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM
7. Provably and Practically Efficient Neural Contextual Bandits
   2022/05/31 by Sudeep Salgia, Sattar Vakili, Salgia, Sudeep +3 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Model Reduction and Neural Networks #Neural Networks and Applications
8. Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
   2023/02/16 by Victor Picheny, Picheny, Victor, Joel Berkeley +29 · 1 citation
   Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Neural Network Applications #Machine Learning and Data Classification