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发表论文5 篇

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年均产出2.5 篇/年

Trevor Campbell

Associate Professor@University of British Columbia·加拿大·OpenReview

研究方向

statistical machine learning · probability · Bayesian statistics · large-scale data

Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference

NeurIPS 2025Poster

Asymptotically exact variational flows via involutive MCMC kernels

NeurIPS 2025Poster

Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization

ICML 2025Poster

AutoStep: Locally adaptive involutive MCMC

ICML 2025Poster

General bounds on the quality of Bayesian coresets

NeurIPS 2024Poster

合作者 (8)

Jacob R. Gardner

Alexandre Bouchard-Cote

Miguel Biron-Lattes

Nikola Surjanovic