Sathyawageeswar Subramanian

3 papers · 2020–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

COLT (1) ICML (1) NeurIPS (1)

Top co-authors

Sho Sonoda (2) Hayata Yamasaki (2) Satoshi Hayakawa (1) Matthias C. Caro (1) Cambyse Rouzé (1) Tom Gur (1) Daniel Stilck França (1) Masato Koashi (1)

Research topics

Artificial Intelligence (3) Interdisciplinary (3) Machine Learning (3) Optimization & Theory · Machine Learning (3) Science (3) Learning Paradigms (2) Deep Learning (1) Application Areas (1) Core AI (1) Core Methods (1) Optimization & Theory · Deep Learning (1)

Keywords

quantum machine learning (2) neural network pruning (1) lottery ticket hypothesis (1) stochastic gradient descent (1) quantum computing (1) generalization bound (1) quantum algorithm (1) random feature (1) quantum learning (1) exponential speedup (1) quantum ridgelet transform (1) quantum computation (1) sparse trainable subnetwork (1) probably approximately correct (1) kernel methods (1) neural network (1) ridgelet transform (1) quantum pac learning (1) quantum concentration (1) quantum optimal transport (1)

Papers

Information-theoretic generalization bounds for learning from quantum data COLT 2024 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NeurIPS 2020