Search Results for author: Amir Shaikhha

Found 7 papers, 2 papers with code

$\nabla$SD: Differentiable Programming for Sparse Tensors

no code implementations13 Mar 2023 Amir Shaikhha, Mathieu Huot, Shideh Hashemian

Sparse tensors are prevalent in many data-intensive applications, yet existing differentiable programming frameworks are tailored towards dense tensors.

Fine-Tuning Data Structures for Analytical Query Processing

no code implementations24 Dec 2021 Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani

Furthermore, we show that the performance of the code generated by our framework either outperforms or is on par with the state-of-the-art analytical query engines and a recent in-database machine learning framework.

BIG-bench Machine Learning

Functional Collection Programming with Semi-Ring Dictionaries

no code implementations10 Mar 2021 Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu

We developed SDQL, a statically typed language that can express relational algebra with aggregations, linear algebra, and functional collections over data such as relations and matrices using semi-ring dictionaries.

BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation

1 code implementation29 Dec 2020 Ziniu Wu, Amir Shaikhha, Rong Zhu, Kai Zeng, Yuxing Han, Jingren Zhou

Recently proposed deep learning based methods largely improve the estimation accuracy but their performance can be greatly affected by data and often difficult for system deployment.

Probabilistic Programming

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