Sandeep Juneja
- Sample complexity of partition identification using multi-armed bandits
2018/11/14 by Sandeep Juneja, Subhashini Krishnasamy, Juneja, Sandeep +1 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Optimal Best-Arm Identification Methods for Tail-Risk Measures
2020/08/17 by Shubhada Agrawal, Agrawal, Shubhada, Wouter M. Koolen +3 · 5 citations
Decision Sciences · Engineering · Mathematics · #Advanced Bandit Algorithms Research #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- Regret Minimization in Heavy-Tailed Bandits
2021/02/07 by Shubhada Agrawal, Agrawal, Shubhada, Sandeep Juneja +3 · 4 citations
Decision Sciences · Computer Science · Engineering · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- Path-ZVA: general, efficient and automated importance sampling for highly reliable Markovian systems
2018/06/29 by Daniël Reijsbergen, Pieter-Tjerk de Boer, Reijsbergen, Daniel +5 · 1 citation
Decision Sciences · Engineering · Mathematics · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Probability and Risk Models #Reliability and Maintenance Optimization
- Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
2024/03/14 by Agniv Bandyopadhyay, Bandyopadhyay, Agniv, Sandeep Juneja +3 · 2 citations
Engineering · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robot Manipulation and Learning
- Selecting the best system and multi-armed bandits
2015/07/16 by Peter W. Glynn, Sandeep Juneja, Glynn, Peter +1 · 1 citation
Computer Science · Decision Sciences · #60-08 #65C05 #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems #Probability (math.PR)