Co-occurring keywords · papers mentioning both
metropolis-hastings algorithm
(2)
markov chain monte carlo
(2)
approximate inference
(2)
adaptive subsampling
(1)
acyclicity constraint
(1)
accept-reject step
(1)
probability-proportional-to-size sampling
(1)
worst-case privacy guarantee
(1)
sparse causal graphs
(1)
leave-one-out cross-validation
(1)
Papers
Stable Differentiable Causal Discovery
ICML 2024
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
ICML 2023
An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models
NAACL 2021
Bayesian leave-one-out cross-validation for large data
ICML 2019
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
ICML 2014