Search Results for author: Sepanta Zeighami

Found 5 papers, 2 papers with code

On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing

no code implementations19 Jun 2023 Sepanta Zeighami, Cyrus Shahabi

In this paper, we significantly strengthen this result, showing that under mild assumptions on data distribution, and the same space complexity as non-learned methods, learned indexes can answer queries in $O(\log\log n)$ expected query time.

Management

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data

1 code implementation14 Dec 2020 Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu

As countries look towards re-opening of economic activities amidst the ongoing COVID-19 pandemic, ensuring public health has been challenging.

Policy Tree Network

no code implementations25 Sep 2019 Zac Wellmer, Sepanta Zeighami, James Kwok

However, decision-time planning with implicit dynamics models in continuous action space has proven to be a difficult problem.

Model-based Reinforcement Learning Policy Gradient Methods +3

Finding Average Regret Ratio Minimizing Set in Database

3 code implementations18 Oct 2018 Sepanta Zeighami, Raymong Chi-Wing Wong

This problem takes into account the probability distribution of the users and considers the satisfaction (ratio) of all users, which is more reasonable in practice, compared with the existing studies that only consider the worst-case satisfaction (ratio) of the users, which may not reflect the whole population and is not useful in some applications.

Cannot find the paper you are looking for? You can Submit a new open access paper.