Martin Jankowiak

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Gaussian Process

Top Venues

Publications

Martin Jankowiak, Du Phan
Reparameterized Variational Rejection Sampling. AISTATS (2024)
Martin Jankowiak
Bayesian Variable Selection in a Million Dimensions. AISTATS (2023)
Martin Jankowiak, Du Phan
Reparameterized Variational Rejection Sampling. CoRR (2023)
Martin Jankowiak, Du Phan
Surrogate Likelihoods for Variational Annealed Importance Sampling. ICML (2022)
Martin Jankowiak
Bayesian Variable Selection in a Million Dimensions. CoRR (2022)
Martin Jankowiak, Geoff Pleiss
Scalable Cross Validation Losses for Gaussian Process Models. CoRR (2021)
Martin Jankowiak, Du Phan
Surrogate Likelihoods for Variational Annealed Importance Sampling. CoRR (2021)
David Eriksson, Martin Jankowiak
High-dimensional Bayesian optimization with sparse axis-aligned subspaces. UAI (2021)
David Eriksson, Martin Jankowiak
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces. CoRR (2021)
Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. AISTATS (2020)
Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner
Deep Sigma Point Processes. UAI (2020)
Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization. CoRR (2020)
Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization. NeurIPS (2020)
Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner
Deep Sigma Point Processes. CoRR (2020)
Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner
Parametric Gaussian Process Regressors. ICML (2020)
Du Phan, Neeraj Pradhan, Martin Jankowiak
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro. CoRR (2019)
Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul A. Szerlip, Paul Horsfall, Noah D. Goodman
Pyro: Deep Universal Probabilistic Programming. J. Mach. Learn. Res. 20 (2019)
Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. CoRR (2019)
Martin Jankowiak, Jacob R. Gardner
Neural Likelihoods for Multi-Output Gaussian Processes. CoRR (2019)
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman
Tensor Variable Elimination for Plated Factor Graphs. ICML (2019)
Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner
Sparse Gaussian Process Regression Beyond Variational Inference. CoRR (2019)
Martin Jankowiak, Theofanis Karaletsos
Pathwise Derivatives for Multivariate Distributions. AISTATS (2019)
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman
Variational Estimators for Bayesian Optimal Experimental Design. CoRR (2019)
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman
Variational Bayesian Optimal Experimental Design. NeurIPS (2019)
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen
Functional Tensors for Probabilistic Programming. CoRR (2019)
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Justin T. Chiu, Neeraj Pradhan, Alexander M. Rush, Noah D. Goodman
Tensor Variable Elimination for Plated Factor Graphs. CoRR (2019)
Martin Jankowiak
Closed Form Variational Objectives For Bayesian Neural Networks with a Single Hidden Layer. CoRR (2018)
Martin Jankowiak, Fritz Obermeyer
Pathwise Derivatives Beyond the Reparameterization Trick. ICML (2018)
Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul A. Szerlip, Paul Horsfall, Noah D. Goodman
Pyro: Deep Universal Probabilistic Programming. CoRR (2018)
Martin Jankowiak, Theofanis Karaletsos
Pathwise Derivatives for Multivariate Distributions. CoRR (2018)
Martin Jankowiak, Fritz Obermeyer
Pathwise Derivatives Beyond the Reparameterization Trick. CoRR (2018)
Martin Jankowiak, Manuel Gomez-Rodriguez
Uncovering the Spatiotemporal Patterns of Collective Social Activity. SDM (2017)
Martin Jankowiak, Manuel Gomez-Rodriguez
Uncovering the Spatiotemporal Patterns of Collective Social Activity. CoRR (2017)
Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky
Event Extraction Using Distant Supervision. LREC (2014)