Eric Nalisnick
31 papers · 2018–2025 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Eric Nalisnick?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with José Miguel Hernández-Lobato, Javier Antoran, Padhraic Smyth
10 papers
· 2018–2025
· ICML, ICLR, NeurIPS
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ELBOing Stein: Variational Bayes with Stein Mixture Inference
ICLR 2025
A Generative Model of Symmetry Transformations
NeurIPS 2024
Sampling-based inference for large linear models, with application to linearised Laplace
ICLR 2023
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
ICML 2022
Bayesian Deep Learning via Subnetwork Inference
ICML 2021
Predictive Complexity Priors
AISTATS 2021
Bayesian Batch Active Learning as Sparse Subset Approximation
NeurIPS 2019
Dropout as a Structured Shrinkage Prior
ICML 2019
Bayesian Trees for Automated Cytometry Data Analysis
MLHC 2018
Learning Priors for Invariance
AISTATS 2018