A General Framework for Counterfactual Learning-to-Rank. - Aman Agarwal; Kenta Takatsu; Ivan Zaitsev; Thorsten Joachims (SIGIR, 2019)

Supervised learning algorithms resilient to discriminatory data perturbations. - Przemyslaw A. Grabowicz; Kenta Takatsu; Luis F. Lafuerza (CoRR, 2019)

Causal Inference using Gaussian Processes with Structured Latent Confounders. - Sam Witty; Kenta Takatsu; David D. Jensen; Vikash Mansinghka 001 (ICML, 2020)

Learning from Discriminatory Training Data. - Przemyslaw A. Grabowicz; Nicholas Perello; Kenta Takatsu (AIES, 2023)

U-Statistics for Importance-Weighted Variational Inference. - Javier Burroni; Kenta Takatsu; Justin Domke; Daniel Sheldon (Trans. Mach. Learn. Res., 2023)