fredrik sävje: balancing covariates in randomized experiments using the gram-schmidt walk
Published 3 years ago • 801 plays • Length 1:05:38Download video MP4
Download video MP3
Similar videos
-
32:31
balancing covariates in randomized experiments: the gram--schmidt walk design
-
1:07:03
sofia triantafyllou: a bayesian method for causal inference with observational and experimental data
-
0:31
silva: interactively assessing machine learning fairness using causality
-
58:57
colin fogarty: prepivoting in finite population causal inference
-
15:51
egor gladin - "vaidya's cutting plane method for stochastic optimization in small dimension"
-
13:43
optimization under uncertainty
-
38:45
vira semenova | machine learning for causal inference
-
54:40
optimality of variational inference for stochastic block model
-
31:14
david hirshberg: balance in causal inference: poststratification to regularized riesz representers
-
52:24
brown measure of a sum of two free random variables and deformed random matrix models
-
52:16
causal matrix estimation
-
29:10
causal inference
-
1:06:08
compressing variational bayes
-
23:36
bistochastic operators for quantum random variables
-
3:14
using fsleyes, part 3: feat mode
-
30:14
some aspects of the mean-field stochastic target problem - boualem djehiche, kth, stockholm
-
32:50
particle classroom series v sampling and dispersion