Martin Jankowiak

34 papers A* 6A 7B 1Journal 20

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