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Robin Ru

5 papers · 2020–2021 · 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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🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

NeurIPS (5)

Top co-authors

Mark van der Wilk (2) Lisa Schut (2) Yarin Gal (2) Clare Lyle (2) Frank Hutter (1) Yang Liu (1) Pedro Esperança (1) Arno Blaas (1) Xiaowen Dong (1) Henry Kenlay (1)

Research topics

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

Keywords

neural architecture search (3) bayesian optimization (2) bayesian inference (1) graph classification (1) hyperparameter optimization (1) model architecture (1) neural network optimization (1) marginal likelihood (1) weight sharing (1) adversarial attack (1) black-box attack (1) pac-bayes bound (1) performance prediction (1) training speed (1) bayesian optimisation (1) performance estimation (1) graph neural network (1) learning curve extrapolation (1) zero-cost proxies (1) stochastic gradient descent (1)

Papers

Adversarial Attacks on Graph Classifiers via Bayesian Optimisation NeurIPS 2021 How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS 2021 Speedy Performance Estimation for Neural Architecture Search NeurIPS 2021 A Bayesian Perspective on Training Speed and Model Selection NeurIPS 2020 Neural Architecture Generator Optimization NeurIPS 2020