MARK: a boosting algorithm for heterogeneous kernel models. - Kristin P. Bennett; Michinari Momma; Mark J. Embrechts (KDD, 2002)

A Pattern Search Method for Model Selection of Support Vector Regression. - Michinari Momma; Kristin P. Bennett (SDM, 2002)

Efficiently Learning the Metric with Side-Information. - Tijl De Bie; Michinari Momma; Nello Cristianini (ALT, 2003)

Sparse Kernel Partial Least Squares Regression. - Michinari Momma; Kristin P. Bennett (COLT, 2003)

Model Builder for Predictive Analytics & Fair Isaac's approach to KDD Cup 2003. - Joel Carleton; Daragh Hartnett; Joseph Milana; Michinari Momma; Joseph Sirosh; Gabriela Surpi (SIGKDD Explor., 2003)

Efficient computations via scalable sparse kernel partial least squares and boosted latent features. - Michinari Momma (KDD, 2005)

Constructing Orthogonal Latent Features for Arbitrary Loss. - Michinari Momma; Kristin P. Bennett (Feature Extraction, 2006)

Linear Time Model Selection for Mixture of Heterogeneous Components. - Ryohei Fujimaki; Satoshi Morinaga; Michinari Momma; Kenji Aoki 001; Takayuki Nakata (ACML, 2009)

Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric Learning. - Michinari Momma; Satoshi Morinaga; Daisuke Komura (ICDM, 2009)

Ellipsoidal Support Vector Machines. - Michinari Momma; Kohei Hatano; Hiroki Nakayama (ACML, 2010)

Influence Analysis in the Blogosphere - Michinari Momma; Yun Chi; Yuanqing Lin; Shenghuo Zhu; Tianbao Yang (CoRR, 2012)

Multi-objective Relevance Ranking. - Michinari Momma; Alireza Bagheri Garakani; Yi Sun (eCOM@SIGIR, 2019)

Multi-objective Ranking via Constrained Optimization. - Michinari Momma; Alireza Bagheri Garakani; Nanxun Ma; Yi Sun (WWW (Companion Volume), 2020)

A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. - Michinari Momma; Chaosheng Dong; Jia Liu 002 (ICML, 2022)

FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. - Minghong Fang; Jia Liu 002; Michinari Momma; Yi Sun (SACMAT, 2022)

Multi-task GNN for Substitute Identification. - Tong Jian; Fan Yang 084; Zhen Zuo; Wenbo Wang; Michinari Momma; Tong Zhao; Chaosheng Dong; Yan Gao 029; Yi Sun (WWW (Companion Volume), 2022)

Multi-Label Learning to Rank through Multi-Objective Optimization. - Debabrata Mahapatra; Chaosheng Dong; Yetian Chen; Deqiang Meng; Michinari Momma (CoRR, 2022)

Multi-Label Learning to Rank through Multi-Objective Optimization. - Debabrata Mahapatra; Chaosheng Dong; Yetian Chen; Michinari Momma (KDD, 2023)

Querywise Fair Learning to Rank through Multi-Objective Optimization. - Debabrata Mahapatra; Chaosheng Dong; Michinari Momma (KDD, 2023)

Federated Multi-Objective Learning. - Haibo Yang 001; Zhuqing Liu; Jia Liu 002; Chaosheng Dong; Michinari Momma (NeurIPS, 2023)

Improving Product Search with Season-Aware Query-Product Semantic Similarity. - Haoming Chen; Yetian Chen; Jingjing Meng; Yang Jiao; Yikai Ni; Yan Gao; Michinari Momma; Yi Sun (WWW (Companion Volume), 2023)

AdaSelection: Accelerating Deep Learning Training through Data Subsampling. - Minghe Zhang; Chaosheng Dong; Jinmiao Fu; Tianchen Zhou; Jia Liang; Jia Liu; Bo Liu; Michinari Momma; Bryan Wang; Yan Gao; Yi Sun (CoRR, 2023)

Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations. - Jin Shang; Yang Jiao; Chenghuan Guo; Minghao Sun; Yan Gao; Jia Liu; Michinari Momma; Itetsu Taru; Yi Sun (ICDM, 2024)

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. - Tianchen Zhou; Hairi; Haibo Yang 001; Jia Liu 002; Tian Tong; Fan Yang 084; Michinari Momma; Yan Gao 029 (ICML, 2024)

MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM. - Chaosheng Dong; Michinari Momma (SIGIR, 2025)

STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. - Zhuqing Liu; Chaosheng Dong; Michinari Momma; Simone Shao; Shaoyuan Xu; Yan Gao 029; Haibo Yang 001; Jia Liu 002 (UAI, 2025)

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. - Hairi; Jiao Yang; Tianchen Zhou; Haibo Yang 001; Chaosheng Dong; Fan Yang 084; Michinari Momma; Yan Gao 029; Jia Liu 002 (CoRR, 2025)