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In-person
11-12 December
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Please note: This schedule is automatically displayed in India Standard Time (UTC+5:30)To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Thursday December 12, 2024 11:50am - 11:55am IST
In this session, Shashank Mittal, a Google Summer of Code (GSoC) 2024 contributor for Kubeflow, will discuss his work on enhancing the Katib component's Experiment APIs to support a wide range of parameter distributions for hyperparameter optimization. Katib is an integral part of the Kubeflow ecosystem that enables scalable and efficient hyperparameter tuning in machine learning workflows. The session will focus on the technical challenges and solutions involved in adding support for distributions such as uniform, log-uniform, normal, and lognormal, among others. Attendees will gain insights into the process of integrating these distributions into Katib's APIs and suggestion services like Optuna and Hyperopt. This talk is designed for developers and data scientists interested in MLOps and cloud-native machine learning infrastructure, highlighting the importance of advanced hyperparameter optimization techniques in improving model performance.
Speakers
avatar for Shashank Mittal

Shashank Mittal

Shashank Mittal, Kubeflow
Shashank Mittal is a B.Tech student at IIT BHU and a 2024 Google Summer of Code contributor to Kubeflow. He specializes in MLOps and DevOps, focusing on enhancing hyperparameter optimization capabilities in cloud-native environments. His work in Kubeflow's Katib involves integrating... Read More →
Thursday December 12, 2024 11:50am - 11:55am IST
Auditorium
  ⚡ Lightning Talks, AI + ML

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