Kenta Takatsu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Gaussian Process

Top Venues

Publications

Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon
U-Statistics for Importance-Weighted Variational Inference. CoRR (2023)
Przemyslaw A. Grabowicz, Nicholas Perello, Kenta Takatsu
Learning from Discriminatory Training Data. AIES (2023)
Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon
U-Statistics for Importance-Weighted Variational Inference. Trans. Mach. Learn. Res. 2023 (2023)
Sam Witty, Kenta Takatsu, David D. Jensen, Vikash Mansinghka
Causal Inference using Gaussian Processes with Structured Latent Confounders. ICML (2020)
Sam Witty, Kenta Takatsu, David D. Jensen, Vikash Mansinghka
Causal Inference using Gaussian Processes with Structured Latent Confounders. CoRR (2020)
Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims
A General Framework for Counterfactual Learning-to-Rank. SIGIR (2019)
Przemyslaw A. Grabowicz, Kenta Takatsu, Luis F. Lafuerza
Supervised learning algorithms resilient to discriminatory data perturbations. CoRR (2019)