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Chandrashekar Lakshminarayanan

Indian Institute of Science

18

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118

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Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality.

2022 CoRR
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Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning. (arXiv:2006.10529v1 [cs.LG])

2020
- Chandrashekar Lakshminarayanan
- Amit Vikram Singh
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Deep Gated Networks: A framework to understand training and generalisation in deep learning

2020 arXiv: Learning
- Chandrashekar Lakshminarayanan
- Amit Vikram Singh
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Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning

2020 NeurIPS | Neural Information Processing Systems
- Chandrashekar Lakshminarayanan
- Amit Vikram Singh
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Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning

2020 arXiv: Learning
- Chandrashekar Lakshminarayanan
- Amit Vikram Singh
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A Linearly Relaxed Approximate Linear Program for Markov Decision Processes

2018 IEEE Transactions on Automatic Control
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Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?

2018 AISTATS | International Conference on Artificial Intelligence and Statistics
- Chandrashekar Lakshminarayanan
- Csaba Szepesvári
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A stability criterion for two timescale stochastic approximation schemes

2017 Automatica
- Chandrashekar Lakshminarayanan
- Shalabh Bhatnagar
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Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach.

2016 CLOUD | International Conference on Cloud Computing
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Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach.

2016 arXiv: Distributed, Parallel, and Cluster Computing
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