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Exploration for Multi-task Reinforcement Learning with Deep Generative Models

Published in Deep Reinforcement Learning Workshop, Neural Information Processing Systems, 2016

Recommended citation: Sai Praveen Bangaru, JS Suhas and Balaraman Ravindran. Exploration for Multi-task Reinforcement Learning with Deep Generative Models. In Neural Information Processing Systems Deep Reinforcement Learning Workshop, 2016. https://arxiv.org/abs/1611.09894

BLAS-on-flash: an alternative for training large ML models?

Published in Systems for Machine Learning Conference, 2018

Recommended citation: Suhas Jayaram Subramanya, Srajan Garg, and Harsha Vardhan Simhadri. "BLAS-on-flash: an alternative for training large ML models?." /files/sysml18.pdf

BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?

Published in 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2019

Code available at https://github.com/Microsoft/blas-on-flash

Recommended citation: Suhas Jayaram Subramanya, et al. "BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?." 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19). USENIX Association. /files/nsdi19.pdf

DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node

Published in Neural Information Processing Systems (NeurIPS), 2019

Code available at https://github.com/microsoft/DiskANN

Recommended citation: Suhas Jayaram Subramanya, Devvrit, Rohan Kadekodi, Harsha Vardhan Simhadri, and Ravishankar Krishaswamy. "DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node". In *Advances in Neural Information Processing Systems (NeurIPS) 2019* /files/diskann_neurips19.pdf

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

Teaching Assistant - Introduction to Machine Learning

Massive Open Online Course (MOOC) - NPTEL, Computer Science & Engineering, Indian Institute of Technology Madras, 2017

Instructor - Prof. Balaraman Ravindran

• Prepared quizzes, assignments and exams for over 6000 registered students
• Course contents now archived to allow others to take the course at their own pace
• Course Duration - 4 Months (Jan, 2017 - April, 2017)