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Jacob R. Gardner

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Stochastic Approximation with Biased MCMC for Expectation Maximization

Feb 27, 2024
Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Jacob R. Gardner

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Provably Scalable Black-Box Variational Inference with Structured Variational Families

Jan 19, 2024
Joohwan Ko, Kyurae Kim, Woo Chang Kim, Jacob R. Gardner

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Large-Scale Gaussian Processes via Alternating Projection

Oct 26, 2023
Kaiwen Wu, Jonathan Wenger, Haydn Jones, Geoff Pleiss, Jacob R. Gardner

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Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?

Jul 27, 2023
Kyurae Kim, Yian Ma, Jacob R. Gardner

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The Behavior and Convergence of Local Bayesian Optimization

May 24, 2023
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner

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Black-Box Variational Inference Converges

May 24, 2023
Kyurae Kim, Kaiwen Wu, Jisu Oh, Yian Ma, Jacob R. Gardner

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Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference

Mar 18, 2023
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner

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Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction

Oct 12, 2022
Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen

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Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients

Jun 13, 2022
Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim

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Local Latent Space Bayesian Optimization over Structured Inputs

Jan 28, 2022
Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner

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