Search Results for author: Gautam Das

Found 5 papers, 1 papers with code

Leveraging History for Faster Sampling of Online Social Networks

1 code implementation ‏‏‎ ‎ 2020 Zhuojie Zhou, Nan Zhang, Gautam Das

Random walk fits naturally with this problem because, for most online social networks, the only query we can issue through the interface is to retrieve the neighbors of a given node (i. e., no access to the full graph topology).

Approximate Query Processing using Deep Generative Models

no code implementations24 Mar 2019 Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das

We use deep generative models, an unsupervised learning based approach, to learn the data distribution faithfully such that aggregate queries could be answered approximately by generating samples from the learned model.

Multi-Attribute Selectivity Estimation Using Deep Learning

no code implementations24 Mar 2019 Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das

Selectivity estimation - the problem of estimating the result size of queries - is a fundamental problem in databases.

Attribute Density Estimation

Efficient Strongly Polynomial Algorithms for Quantile Regression

no code implementations14 Jul 2023 Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh, Gautam Das

Linear Regression is a seminal technique in statistics and machine learning, where the objective is to build linear predictive models between a response (i. e., dependent) variable and one or more predictor (i. e., independent) variables.

regression

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs

no code implementations1 Mar 2024 Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas

Pre-trained Large Language Models (LLMs) have significantly advanced natural language processing capabilities but are susceptible to biases present in their training data, leading to unfair outcomes in various applications.

Fairness Language Modelling +2

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