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Rahul Yedida

Strong convexity-guided hyper-parameter optimization for flatter losses

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Feb 07, 2024
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SMOOTHIE: A Theory of Hyper-parameter Optimization for Software Analytics

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Jan 17, 2024
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How to Find Actionable Static Analysis Warnings

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May 21, 2022
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Partitioning Cloud-based Microservices (via Deep Learning)

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Sep 29, 2021
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When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time

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Jan 15, 2021
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Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets

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May 18, 2020
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Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets

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Jun 01, 2019
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A novel adaptive learning rate scheduler for deep neural networks

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Mar 13, 2019
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Employee Attrition Prediction

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Jun 19, 2018
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