Jankowiak, Martin

15 publications

AISTATS 2024 Reparameterized Variational Rejection Sampling Martin Jankowiak, Du Phan

AISTATS 2023 Bayesian Variable Selection in a Million Dimensions Martin Jankowiak

ICML 2022 Surrogate Likelihoods for Variational Annealed Importance Sampling Martin Jankowiak, Du Phan

UAI 2021 High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson, Martin Jankowiak

AISTATS 2020 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments Adam Foster, Martin Jankowiak, Matthew O’Meara, Yee Whye Teh, Tom Rainforth

UAI 2020 Deep Sigma Point Processes Martin Jankowiak, Geoff Pleiss, Jacob Gardner

NeurIPS 2020 Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob Gardner

ICML 2020 Parametric Gaussian Process Regressors Martin Jankowiak, Geoff Pleiss, Jacob Gardner

NeurIPSW 2019 Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro Du Phan, Neeraj Pradhan, Martin Jankowiak

NeurIPSW 2019 Functional Tensors for Probabilistic Programming Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan Chen

AISTATS 2019 Pathwise Derivatives for Multivariate Distributions Martin Jankowiak, Theofanis Karaletsos

MLOSS 2019 Pyro: Deep Universal Probabilistic Programming Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul Szerlip, Paul Horsfall, Noah D. Goodman

ICML 2019 Tensor Variable Elimination for Plated Factor Graphs Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin Chiu, Alexander Rush, Noah Goodman

NeurIPS 2019 Variational Bayesian Optimal Experimental Design Adam Foster, Martin Jankowiak, Elias Bingham, Paul Horsfall, Yee Whye Teh, Thomas Rainforth, Noah Goodman

ICML 2018 Pathwise Derivatives Beyond the Reparameterization Trick Martin Jankowiak, Fritz Obermeyer