Joseph Wang

7 papers · 2012–2017 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird

🔥 Unstoppable · Bronze

Venues

NeurIPS (3) ICML (2) ACML (1) AISTATS (1)

Top co-authors

Venkatesh Saligrama (7) Kirill Trapeznikov (2) Feng Nan (2) Tolga Bolukbasi (1) Ofer Dekel (1)

Research topics

Machine Learning (7) Core Methods (5) Deep Learning (4) Application Areas (4) Learning Types · Machine Learning (3) Optimization & Theory (3) Mathematics & Optimization (2) Learning Types · Deep Learning (2) Optimization (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Techniques (1)

Keywords

cost-sensitive learning (2) sensor selection (2) random forest (2) budgeted learning (2) empirical risk minimization (2) locally linear classifier (2) supervised learning (1) feature selection (1) classification (1) label noise (1) feature space (1) dynamic programming (1) generalization error (1) multi-class classification (1) early exit (1) logistic regression (1) linear programming relaxation (1) sequential decision (1) primal-dual algorithm (1) linear programming (1)

Papers

Adaptive Neural Networks for Efficient Inference ICML 2017 Pruning Random Forests for Prediction on a Budget NeurIPS 2016 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Feature-Budgeted Random Forest ICML 2015 An LP for Sequential Learning Under Budgets AISTATS 2014 Locally-Linear Learning Machines (L3M) ACML 2013 Local Supervised Learning through Space Partitioning NeurIPS 2012