# Publications¶

See also: Google Scholar, DBLP, Researchmap

## Refereed Journals and Conferences¶

**Shrunk subspaces via operator Sinkhorn iteration**[ArXiv]with Cole Franks and Michel X. Goemans

ACM-SIAM Symposium on Discrete Algorithms (SODA), 2023. [Proceedings]

**Algebraic Algorithms for Fractional Linear Matroid Parity via Non-commutative Rank**[ArXiv]with Taihei Oki

ACM-SIAM Symposium on Discrete Algorithms (SODA), 2023. [Proceedings]

**Online Risk-averse Submodular Maximization**with Yuichi Yoshida

Annals of Operations Research, 320, pp. 393–414, 2023.

The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. [Proceedings]

**Information Geometry of Operator Scaling**with Takeru Matsuda

Linear Algebra and its Applications, 649, pp. 240–267, 2022.

**Polynomial-Time Algorithms for Submodular Laplacian Systems**[ArXiv]with Kaito Fujii and Yuichi Yoshida

**Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds**[Proceedings]with Chris Liaw and Nick Harvey

Advances in Neural Information Processing Systems (NeurIPS), 2020.

**Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits**[Proceedings]with Shinji Ito, Shuichi Hirahara, and Yuichi Yoshida

Advances in Neural Information Processing Systems (NeurIPS), 2020,

**spotlight**.**No-regret algorithms for online k-submodular maximization**[Proceedings] [ArXiv]The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.

**Spectral Sparsification of Hypergraphs**[Proceedings]with Yuichi Yoshida

**Fast greedy algorithms for dictionary selection with generalized sparsity constraints**[Proceedings]with Kaito Fujii

Advances in Neural Information Processing Systems (NeurIPS), 2018,

**spotlight**.**Maximizing Monotone Submodular Functions over the Integer Lattice**[ArXiv] [full text]with Yuichi Yoshida

Mathematical Programming, 172, pp.539–563, 2018.

Integer Programming and Combinatorial Optimization (IPCO), 2016

**A New Approximation Guarantee for Monotone Submodular Function Maximization via Discrete Convexity**[ArXiv]with Yuichi Yoshida

The 45th International Colloquium on Automata, Languages, and Programming (ICALP), 2018.

**On orthogonal tensors and best rank-one approximation ratio**[ArXiv]with Zhening Li, Yuji Nakatsukasa, and André Uschmajew

SIAM Jounal on Matrix Analysis and Applications, 39 (1), pp. 400–425, 2018.

**Regret Ratio Minimization in Multi-objective Submodular Function Maximization**[PDF]with Yuichi Yoshida

**Non-monotone DR-Submodular Function Maximization**[ArXiv]with Yuichi Yoshida

**Finding a low-rank basis in a matrix subspace**[Full text] [ArXiv]with Yuji Nakatsukasa and André Uschmajew

**Non-Convex Compressed Sensing with the Sum-of-Squares Method**[Proceedings] [PDF]with Yuichi Yoshida

**Multicasting in Linear Deterministic Relay Network by Matrix Completion**[PDF(technical report)]IEEE Transactions on Information Theory, 62(2), pp. 870–875, 2016.

IEEE International Symposium on Information Theory (ISIT), 2014

**A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice**[Proceedings]with Yuichi Yoshida

Advances in Neural Information Processing Systems (NIPS), 2015, poster

**Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm**[PDF(extended version)]with Naonori Kakimura, Kazuhiro Inaba, and Ken-ichi Kawarabayashi

International Conference on Machine Learning (ICML), 2014,

**Cycle 1 (acceptance rate: 27%)****Fast Deterministic Algorithms for Matrix Completion Problems**, [PDF]SIAM Journal on Discrete Mathematics, 28(1), pp. 490–502, 2014.

Integer Programming and Combinatorial Optimization (IPCO), 2013

## Refereed Workshop¶

**Maximally Invariant Data Perturbation as Explanation**[ArXiv]with Satoshi Hara, Kouichi Ikeno, and Takanori Maehara

ICML Workshop on Human Interpretability in Machine Learning (WHI), 2018

## Preprints¶

**Algebraic combinatorial optimization on the degree of determinants of noncommutative symbolic matrices**[ArXiv]with Hiroshi Hirai, Yuni Iwamasa, Taihei Oki

ArXiv, 2023.

**Online Algorithms for Spectral Hypergraph Sparsification**[ArXiv]with Kam Chuen Tung, Yuichi Yoshida

ArXiv, 2023.

**Optimal algorithms for group distributionally robust optimization and beyond**[ArXiv]with Khashayar Gatmiry, Stefanie Jegelka

ArXiv, 2022.

**Statistical Learning with Conditional Value at Risk**[ArXiv]with Yuichi Yoshida

ArXiv, 2020.

## Book¶

**組合せ最適化から機械学習へ: 劣モジュラ最適化とグラフマイニング (From Combinatorial Optimization to Machine Learning: Submodular Optimization and Graph Mining)**[Publisher]with Kaito Fujii, Atsushi Miyauchi,

SAIENSU-SHA Co.,Ltd, 2022.

## Thesis¶

Master thesis: “Faster Deterministic Algorithms for Matrix Completion Problems,”

Kyoto University, 2013, supervised by Satoru Iwata.

**Operation Research Society Japan Student Paper Award (第31回日本オペレーションズ・リサーチ学会学生論文賞)**Doctoral dissertation: “Submodular and Sparse Optimization Methods for Machine Learning and Communication,”

Graduate School of Information Science and Technology, The University of Tokyo, 2016, supervised by Satoru Iwata.

**Graduate School Distiguished Doctoral Thesis Award (情報理工学系研究科研究科長賞)**