Martin Jankowiak

According to our database, Martin Jankowiak authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reparameterized Variational Rejection Sampling.

Martin Jankowiak, Du Phan

CoRR, 2023

Bayesian Variable Selection in a Million Dimensions.

Martin Jankowiak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Surrogate Likelihoods for Variational Annealed Importance Sampling.

Martin Jankowiak, Du Phan

Proceedings of the International Conference on Machine Learning, 2022

2021

Scalable Cross Validation Losses for Gaussian Process Models.

Martin Jankowiak, Geoff Pleiss

CoRR, 2021

High-dimensional Bayesian optimization with sparse axis-aligned subspaces.

David Eriksson, Martin Jankowiak

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Deep Sigma Point Processes.

Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

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

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Parametric Gaussian Process Regressors.

Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner

Proceedings of the 37th International Conference on Machine Learning, 2020

A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments.

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

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Pyro: Deep Universal Probabilistic Programming.

Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul A. Szerlip, Paul Horsfall, Noah D. Goodman

J. Mach. Learn. Res., 2019

Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro.

Du Phan, Neeraj Pradhan, Martin Jankowiak

CoRR, 2019

Functional Tensors for Probabilistic Programming.

Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen

CoRR, 2019

Sparse Gaussian Process Regression Beyond Variational Inference.

Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner

CoRR, 2019

Neural Likelihoods for Multi-Output Gaussian Processes.

Martin Jankowiak, Jacob R. Gardner

CoRR, 2019

Variational Estimators for Bayesian Optimal Experimental Design.

Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman

CoRR, 2019

Variational Bayesian Optimal Experimental Design.

Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tensor Variable Elimination for Plated Factor Graphs.

Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman

Proceedings of the 36th International Conference on Machine Learning, 2019

Pathwise Derivatives for Multivariate Distributions.

Martin Jankowiak, Theofanis Karaletsos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Closed Form Variational Objectives For Bayesian Neural Networks with a Single Hidden Layer.

Martin Jankowiak

CoRR, 2018

Pathwise Derivatives Beyond the Reparameterization Trick.

Martin Jankowiak, Fritz Obermeyer

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Uncovering the Spatiotemporal Patterns of Collective Social Activity.

Martin Jankowiak, Manuel Gomez-Rodriguez

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2014

Event Extraction Using Distant Supervision.

Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014