4 citations · 8 across the 3 of their papers we have counts for
3 papers · 1 filter
Lower-Bounded Proper Losses for Weakly Supervised Classification
Shuhei M. Yoshida, Takashi Takenouchi, Masashi Sugiyama
This paper discusses the problem of weakly supervised classification, in which instances are given weak labels that are produced by some label-corruption process. The goal is to de…
Regret Minimization for Causal Inference on Large Treatment Space
Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi +1
Predicting which action (treatment) will lead to a better outcome is a central task in decision support systems. To build a prediction model in real situations, learning from biase…
Unified estimation framework for unnormalized models with statistical efficiency
Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi +1
The parameter estimation of unnormalized models is a challenging problem. The maximum likelihood estimation (MLE) is computationally infeasible for these models since normalizing c…