Jon McAuliffe

4 papers · 2015–2019 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

ICML (2) NeurIPS (2)

Top co-authors

Jeffrey Regier (3) David Schlegel (2) Andrew Miller (2) Dustin Lang (2) Mr Prabhat (1) Michael Jordan (1) Ryan Adams (1) Jeff Regier (1) Ryan P. Adams (1) Nilesh Tripuraneni (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Artificial Intelligence (2) Deep Learning (2) Bayesian & Probabilistic · Machine Learning (2) Bayesian & Probabilistic · Artificial Intelligence (2) Models (2) Mathematics & Optimization (1) Optimization (1)

Keywords

bayesian inference (2) variational inference (2) bayesian nonparametrics (1) gaussian process (1) variance reduction (1) semi-supervised classification (1) second-order optimization (1) discrete distribution (1) generative model (1) latent variable model (1) poisson distribution (1) latent variable (1) trust region optimization (1) reparameterization trick (1) black-box inference (1) black-box variational inference (1) astronomical image (1) galaxy detection (1) spectral energy distribution (1) photometric redshift (1)

Papers

Rao-Blackwellized Stochastic Gradients for Discrete Distributions ICML 2019 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 Celeste: Variational inference for a generative model of astronomical images ICML 2015