no code implementations • pproximateinference AABI Symposium 2022 • Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon
We propose the use of U-statistics to reduce variance for gradient estimation in importance-weighted variational inference.
no code implementations • ICML 2020 • Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka
Latent confounders---unobserved variables that influence both treatment and outcome---can bias estimates of causal effects.
no code implementations • 17 Dec 2019 • Przemyslaw A. Grabowicz, Nicholas Perello, Kenta Takatsu
Supervised learning systems are trained using historical data and, if the data was tainted by discrimination, they may unintentionally learn to discriminate against protected groups.
no code implementations • 30 Apr 2018 • Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims
Specifically, we derive a relaxation for propensity-weighted rank-based metrics which is subdifferentiable and thus suitable for gradient-based optimization.