3 citations · 7 across the 19 of their papers we have counts for
6 papers · 1 filter
Near Optimal Pure Exploration in Logistic Bandits
Eduardo Ochoa Rivera, Ambuj Tewari
Bandit algorithms have garnered significant attention due to their practical applications in real-world scenarios. However, beyond simple settings such as multi-arm or linear bandi…
Leveraging Offline Data in Linear Latent Contextual Bandits
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Leveraging offline data is an attractive way to accelerate online sequential decision-making. However, it is crucial to account for latent states in users or environments in the of…
Conformal Robust Control of Linear Systems
Yash Patel, Sahana Rayan, Ambuj Tewari
End-to-end engineering design pipelines, in which designs are evaluated using concurrently defined optimal controllers, are becoming increasingly common in practice. To discover de…
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
Eduardo Ochoa Rivera, Yash Patel, Ambuj Tewari
Distribution-free uncertainty estimation for ensemble methods is increasingly desirable due to the widening deployment of multi-modal black-box predictive models. Conformal predict…
Examining the Impact of Local Condition Violations on Energy Computations in DFT
Vaibhav Khanna, Bikash Kanungo, Vikram Gavini +2
This work introduces Extent of Violation Indices (EVIs), a novel metric for quantifying how well exchange-correlation functionals adhere to local conditions. Applying EVIs to a div…
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu, Zifan Xu, Runxuan Jiang +2
Multitask Reinforcement Learning (MTRL) approaches have gained increasing attention for its wide applications in many important Reinforcement Learning (RL) tasks. However, while re…