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Victor Lee

2 accepted papers

2023

Alternately Optimized Graph Neural Networks

ICML 2023poster

Graph Neural Networks (GNNs) have greatly advanced the semi-supervised node classification task on graphs. The majority of existing GNNs are trained in an end-to-end manner that can be viewed as tackling a bi-level optimization problem. This process is often inefficient in computation and memory usa…

Cited by 12SourcePDFScholar
2019

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

NeurIPS 2019poster

We present a novel probabilistic programming framework that couples directly to existing large-scale simulators through a cross-platform probabilistic execution protocol, which allows general-purpose inference engines to record and control random number draws within simulators in a language-agnostic…