Diana Cai
@dianarycai.bsky.social
4.5K followers
270 following
48 posts
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
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Kyle Cranmer
@kylecranmer.bsky.social
· Aug 20
psteinb.bsky.social
@psteinb.bsky.social
· Aug 19
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
Reposted by Diana Cai
Reposted by Diana Cai
Reposted by Diana Cai
Diana Cai
@dianarycai.bsky.social
· Aug 4
Diana Cai
@dianarycai.bsky.social
· Jun 14
Diana Cai
@dianarycai.bsky.social
· Jun 2
Diana Cai
@dianarycai.bsky.social
· May 29
Reposted by Diana Cai
Hanna Wallach
@hannawallach.bsky.social
· May 20
FATE Research Assistant (“Pre-doc”) - Microsoft Research
The Fairness, Accountability, Transparency, and Ethics (FATE) Research group at Microsoft Research New York City (MSR NYC) is looking for a pre-doctoral research assistant (pre-doc) to start August 20...
www.microsoft.com
Diana Cai
@dianarycai.bsky.social
· May 2
Batch, match, and patch: low-rank approximations for score-based variational inference
Black-box variational inference (BBVI) scales poorly to high-dimensional problems when it is used to estimate a multivariate Gaussian approximation with a full covariance matrix. In this paper, we ext...
arxiv.org
Reposted by Diana Cai
Reposted by Diana Cai
Reposted by Diana Cai