Hanzhang Hu

3 papers · 2017–2019 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AAAI (1) AISTATS (1) NeurIPS (1)

Top co-authors

Debadeepta Dey (2) Martial Hebert (2) Wen Sun (1) J. Andrew Bagnell (1) Eric J Horvitz (1) Saurajit Mukherjee (1) Rich Caruana (1) Andrew Bagnell (1) John Langford (1) Arun Venkatraman (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Learning Types (2) Optimization & Theory · Deep Learning (2) Techniques (2) Artificial Intelligence (1) Application Areas (1) Core Methods (1) Learning Paradigms (1)

Keywords

gradient boosting (2) online learning (1) network architecture (1) ensemble learning (1) feature selection (1) neural architecture search (1) computational cost (1) model optimization (1) convex loss function (1) auxiliary loss (1) computational budget (1) geometric mean (1) neural network (1) forward selection (1) anytime prediction (1) adaptive loss balancing (1) test-time computational cost (1) test-time computation (1) connection selection (1) adaptive loss weighting (1)

Papers

Efficient Forward Architecture Search NeurIPS 2019 Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019 Gradient Boosting on Stochastic Data Streams AISTATS 2017