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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…

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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…