Martin Jankowiak
13 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (13)
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Conference Polyglot
(5)
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Deep Specialist
(10)
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(13)
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Keyword Collector
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Conferences
AISTATS (4)
ICML (4)
NIPS (2)
UAI (2)
JMLR (1)
Top co-authors
Keywords
variational inference
(10)
bayesian inference
(3)
gaussian process
(3)
probabilistic programming
(3)
markov chain monte carlo
(2)
bayesian optimization
(2)
predictive distribution
(2)
expected information gain
(2)
feature selection
(1)
maximum likelihood
(1)
logistic regression
(1)
variable selection
(1)
importance sampling
(1)
gaussian process regression
(1)
deep learning
(1)
approximate bayesian inference
(1)
variance reduction
(1)
optimal transport
(1)
variable elimination
(1)
optimal experimental design
(1)
Papers
Reparameterized Variational Rejection Sampling
AISTATS 2024
Bayesian Variable Selection in a Million Dimensions
AISTATS 2023
Surrogate Likelihoods for Variational Annealed Importance Sampling
ICML 2022
High-dimensional Bayesian optimization with sparse axis-aligned subspaces
UAI 2021
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
NIPS 2020
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
AISTATS 2020
Deep Sigma Point Processes
UAI 2020
Parametric Gaussian Process Regressors
ICML 2020
Variational Bayesian Optimal Experimental Design
NIPS 2019
Pathwise Derivatives for Multivariate Distributions
AISTATS 2019
Tensor Variable Elimination for Plated Factor Graphs
ICML 2019
Pyro: Deep Universal Probabilistic Programming
JMLR 2019
Pathwise Derivatives Beyond the Reparameterization Trick
ICML 2018