9 citations · 9 across the 2 of their papers we have counts for
3 papers
stat.ML2022
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics
Tal El-Hay, Chen Yanover
Methods that address data shifts usually assume full access to multiple datasets. In the healthcare domain, however, privacy-preserving regulations as well as commercial interests…
cs.LG2018
Adversarial Balancing for Causal Inference
Michal Ozery-Flato, Pierre Thodoroff, Matan Ninio +2
Biases in observational data of treatments pose a major challenge to estimating expected treatment outcomes in different populations. An important technique that accounts for these…
cs.AI2013★ 9 cited
Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables
Tal El-Hay, Nir Friedman
Global variational approximation methods in graphical models allow efficient approximate inference of complex posterior distributions by using a simpler model. The choice of the ap…