Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View. - Takanori Maehara; Akihiro Yabe; Ken-ichi Kawarabayashi (ICML, 2015)

Bi-polynomial rank and determinantal complexity. - Akihiro Yabe (CoRR, 2015)

A combinatorial formula for principal minors of a matrix with tree-metric exponents and its applications. - Hiroshi Hirai 001; Akihiro Yabe (J. Comb. Theory A, 2015)

Robust Quadratic Programming for Price Optimization. - Akihiro Yabe; Shinji Ito; Ryohei Fujimaki (IJCAI, 2017)

Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation. - Shinji Ito; Daisuke Hatano; Hanna Sumita; Akihiro Yabe; Takuro Fukunaga; Naonori Kakimura; Ken-ichi Kawarabayashi (NIPS, 2017)

Online Regression with Partial Information: Generalization and Linear Projection. - Shinji Ito; Daisuke Hatano; Hanna Sumita; Akihiro Yabe; Takuro Fukunaga; Naonori Kakimura; Ken-ichi Kawarabayashi (AISTATS, 2018)

Unbiased Objective Estimation in Predictive Optimization. - Shinji Ito; Akihiro Yabe; Ryohei Fujimaki (ICML, 2018)

Causal Bandits with Propagating Inference. - Akihiro Yabe; Daisuke Hatano; Hanna Sumita; Shinji Ito; Naonori Kakimura; Takuro Fukunaga; Ken-ichi Kawarabayashi (ICML, 2018)

Regret Bounds for Online Portfolio Selection with a Cardinality Constraint. - Shinji Ito; Daisuke Hatano; Hanna Sumita; Akihiro Yabe; Takuro Fukunaga; Naonori Kakimura; Ken-ichi Kawarabayashi (NeurIPS, 2018)

Empirical Hypothesis Space Reduction. - Akihiro Yabe; Takanori Maehara (CoRR, 2019)

A Predictive Optimization Framework for Hierarchical Demand Matching. - Naoto Ohsaka; Tomoya Sakai 001; Akihiro Yabe (SDM, 2020)

Causality and Robust Optimization. - Akihiro Yabe (CoRR, 2020)

Tightly Robust Optimization via Empirical Domain Reduction. - Akihiro Yabe; Takanori Maehara (CoRR, 2020)

On the Convex Combination of Determinantal Point Processes. - Tatsuya Matsuoka; Naoto Ohsaka; Akihiro Yabe (ACML, 2021)