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Efficient Strongly Polynomial Algorithms for Quantile Regression
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.
Approximate Query Processing using Deep Generative Models
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
Selectivity estimation - the problem of estimating the result size of queries - is a fundamental problem in databases.
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