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Martin Jankowiak

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Reparameterized Variational Rejection Sampling

Sep 26, 2023
Martin Jankowiak, Du Phan

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Bayesian Variable Selection in a Million Dimensions

Aug 02, 2022
Martin Jankowiak

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Surrogate Likelihoods for Variational Annealed Importance Sampling

Dec 22, 2021
Martin Jankowiak, Du Phan

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Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression

Jun 28, 2021
Martin Jankowiak

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Scalable Cross Validation Losses for Gaussian Process Models

May 24, 2021
Martin Jankowiak, Geoff Pleiss

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High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Feb 27, 2021
David Eriksson, Martin Jankowiak

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Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization

Jun 19, 2020
Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner

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Deep Sigma Point Processes

Feb 21, 2020
Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner

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Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Dec 24, 2019
Du Phan, Neeraj Pradhan, Martin Jankowiak

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A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments

Nov 01, 2019
Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth

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