Bryan D He

3 papers · 2015–2017 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (3)

Top co-authors

Christopher Re (2) Ioannis Mitliagkas (1) Payal Bajaj (1) Nishith Khandwala (1) Paroma Varma (1) Christopher M De Sa (1) Imon Banerjee (1) Yisong Yue (1) Daniel Rubin (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Learning Types (2) Mathematics & Optimization (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Optimization (1) Optimization & Theory (1)

Keywords

combinatorial optimization (1) probabilistic modeling (1) interactive learning (1) structure learning (1) weak supervision (1) markov chain monte carlo (1) gibbs sampling (1) static analysis (1) set cover (1) submodular set cover (1) hypothesis class (1) mixing time (1) generative model (1) approximation guarantee (1) theoretical guarantee (1) submodular function (1) interactive algorithm (1) systematic scan (1) programmatic heuristics (1) random scan (1)

Papers

Inferring Generative Model Structure with Static Analysis NeurIPS 2017 Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much NeurIPS 2016 Smooth Interactive Submodular Set Cover NeurIPS 2015