NeurIPS 2019 Accepted Papers

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September 13, 2019

NeurIPS 2019

This year marks the 33rd annual Conference on Neural Information Processing Systems, a workshop and conference hosted by the Neural Information Processing Systems Foundation that is more casually referred to as NeurIPS. The accepted papers for NeurIPS 2019 were posted earlier this month, and it gave CAIDA a lot to celebrate. The University of British Columbia has 15 individuals featured across 9 of the accepted papers, and 6 of CAIDA’s members have papers that have been accepted.  This is just another exciting way that the research done by CAIDA’s members is contributing to the scientific world. You can see the titles of the papers by our members below, and you can check out the rest of the accepted papers here.


Trevor Campbell

Universal Boosting Variational Inference

Sparse Variational Inference: Bayesian Coresets from Scratch


Kevin Leyton-Brown

Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration


Mark Schmidt

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates


Frank Wood

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

The Thermodynamic Variational Objective


Maryam Kamgarpour (joining ECE at UBC in January)

No-Regret Learning in Unknown Games with Correlated Payoffs


Margo Seltzer

Optimal Sparse Decision Trees

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