Michinari Momma

34 papers A* 11A 2B 1C 3Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behavioral Feature Boosting via Substitute Relationships for E-commerce Search. CoRR Chaosheng Dong, Michinari Momma, Yijia Wang, Yan Gao, Yi Sun
2025	—	`conf`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CDC Hairi, Yang Jiao, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	J	`jnl`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CoRR Hairi, Jiao Yang, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	A*	`conf`	MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM. SIGIR Chaosheng Dong, Michinari Momma
2025	A	`conf`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. UAI Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. CoRR Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2024	A*	`conf`	Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. ICML Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024	J	`jnl`	Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. CoRR Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024	A*	`conf`	Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations. ICDM Jin Shang, Yang Jiao, Chenghuan Guo, Minghao Sun, Yan Gao, Jia Liu, Michinari Momma, Itetsu Taru, Yi Sun
2023	J	`jnl`	AdaSelection: Accelerating Deep Learning Training through Data Subsampling. CoRR Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun
2023	A*	`conf`	Federated Multi-Objective Learning. NeurIPS Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	J	`jnl`	Federated Multi-Objective Learning. CoRR Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	—	`conf`	Improving Product Search with Season-Aware Query-Product Semantic Similarity. WWW (Companion Volume) Haoming Chen, Yetian Chen, Jingjing Meng, Yang Jiao, Yikai Ni, Yan Gao, Michinari Momma, Yi Sun
2023	A*	`conf`	Multi-Label Learning to Rank through Multi-Objective Optimization. KDD Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma
2023	A*	`conf`	Querywise Fair Learning to Rank through Multi-Objective Optimization. KDD Debabrata Mahapatra, Chaosheng Dong, Michinari Momma
2022	A*	`conf`	A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. ICML Michinari Momma, Chaosheng Dong, Jia Liu
2022	C	`conf`	FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. SACMAT Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2022	J	`jnl`	FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. CoRR Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2022	J	`jnl`	Multi-Label Learning to Rank through Multi-Objective Optimization. CoRR Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma
2022	—	`conf`	Multi-task GNN for Substitute Identification. WWW (Companion Volume) Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun
2020	—	`conf`	Multi-objective Ranking via Constrained Optimization. WWW (Companion Volume) Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun
2020	J	`jnl`	Multi-objective Ranking via Constrained Optimization. CoRR Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun
2019	—	`conf`	Multi-objective Relevance Ranking. eCOM@SIGIR Michinari Momma, Alireza Bagheri Garakani, Yi Sun
2012	J	`jnl`	Influence Analysis in the Blogosphere CoRR Michinari Momma, Yun Chi, Yuanqing Lin, Shenghuo Zhu, Tianbao Yang
2010	C	`conf`	Ellipsoidal Support Vector Machines. ACML Michinari Momma, Kohei Hatano, Hiroki Nakayama
2009	C	`conf`	Linear Time Model Selection for Mixture of Heterogeneous Components. ACML Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata
2009	A*	`conf`	Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric Learning. ICDM Michinari Momma, Satoshi Morinaga, Daisuke Komura
2006	—	`ch.`	Constructing Orthogonal Latent Features for Arbitrary Loss. Feature Extraction Michinari Momma, Kristin P. Bennett
2005	A*	`conf`	Efficient computations via scalable sparse kernel partial least squares and boosted latent features. KDD Michinari Momma
2003	B	`conf`	Efficiently Learning the Metric with Side-Information. ALT Tijl De Bie, Michinari Momma, Nello Cristianini
2003	J	`jnl`	Model Builder for Predictive Analytics & Fair Isaac's approach to KDD Cup 2003. SIGKDD Explor. Joel Carleton, Daragh Hartnett, Joseph Milana, Michinari Momma, Joseph Sirosh, Gabriela Surpi
2003	A*	`conf`	Sparse Kernel Partial Least Squares Regression. COLT Michinari Momma, Kristin P. Bennett
2002	A	`conf`	A Pattern Search Method for Model Selection of Support Vector Regression. SDM Michinari Momma, Kristin P. Bennett
2002	A*	`conf`	MARK: a boosting algorithm for heterogeneous kernel models. KDD Kristin P. Bennett, Michinari Momma, Mark J. Embrechts