Chandrashekar Lakshminarayanan

2 papers · 2018–2020 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

AISTATS (1) NeurIPS (1)

Top co-authors

Amit Vikram Singh (1) Csaba Szepesvári (1)

Research topics

Machine Learning (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Reinforcement Learning (1) Architectures (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Methods (1) Optimization & Theory · Deep Learning (1)

Keywords

temporal difference learning (1) deep learning theory (1) deep learning (1) relu activation (1) mean square error (1) iterate averaging (1) gate mechanism (1) neural network (1) linear stochastic approximation (1) network generalization (1) constant step size (1) asymptotic fast rate (1) neural path feature (1) neural path kernel (1)

Papers

Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning NeurIPS 2020 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018