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Taihei Oki
Taihei Oki
Bestätigte E-Mail-Adresse bei mist.i.u-tokyo.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Discrete-convex-analysis-based framework for warm-starting algorithms with predictions
S Sakaue, T Oki
Advances in Neural Information Processing Systems 35 (NeurIPS '22), 20988–21000, 2022
162022
Multi-dimensional graph Fourier transform
T Kurokawa, T Oki, H Nagao
arXiv preprint arXiv:1712.07811, 2017
162017
Computing valuations of the Dieudonné determinants
T Oki
Journal of Symbolic Computation 116, 284-323, 2023
10*2023
Improved structural methods for nonlinear differential-algebraic equations via combinatorial relaxation
T Oki
IMA Journal of Numerical Analysis 43 (1), 357-386, 2023
8*2023
Index reduction for differential-algebraic equations with mixed matrices
S Iwata, T Oki, M Takamatsu
Journal of the ACM 66 (5), 1-34, 2019
72019
A compact representation for minimizers of -submodular functions
H Hirai, T Oki
Journal of Combinatorial Optimization 36 (3), 709-741, 2018
42018
Algebraic algorithms for fractional linear matroid parity via non-commutative rank
T Oki, T Soma
Proceedings of the 34th Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
32023
Pfaffian pairs and parities: counting on linear matroid intersection and parity problems
K Matoya, T Oki
SIAM Journal on Discrete Mathematics 36 (3), 2121-2158, 2022
32022
Sample complexity of learning heuristic functions for greedy-best-first and A* search
S Sakaue, T Oki
Advances in Neural Information Processing Systems 35 (NeurIPS '22), 2889–2901, 2022
32022
Dynamic programming approach to the generalized minimum Manhattan network problem
Y Masumura, T Oki, Y Yamaguchi
Algorithmica 83 (12), 3681-3714, 2021
32021
Improved generalization bound and learning of sparsity patterns for data-driven low-rank approximation
S Sakaue, T Oki
Proceedings of the 26th International Conference on Artificial Intelligence …, 2023
22023
Rethinking warm-starts with predictions: learning predictions close to sets of optimal solutions for faster -/-convex function minimization
S Sakaue, T Oki
Proceedings of the 40th International Conference on Machine Learning (ICML '23), 2023
1*2023
Lazy and fast greedy MAP inference for determinantal point process
S Hemmi, T Oki, S Sakaue, K Fujii, S Iwata
Advances in Neural Information Processing Systems 35 (NeurIPS '22), 2776–2789, 2022
12022
Structural Preprocessing Method for Nonlinear Differential-Algebraic Equations Using Linear Symbolic Matrices
T Oki, Y Song
arXiv preprint arXiv:2403.10260, 2024
2024
Fractional Linear Matroid Matching is in quasi-NC
R Gurjar, T Oki, R Raj
arXiv preprint arXiv:2402.18276, 2024
2024
Problems on Group-labeled Matroid Bases
F Hörsch, A Imolay, R Mizutani, T Oki, T Schwarcz
arXiv preprint arXiv:2402.16259, 2024
2024
Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
S Sakaue, H Bao, T Tsuchiya, T Oki
arXiv preprint arXiv:2402.08180, 2024
2024
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
T Oki, S Sakaue
Advances in Neural Information Processing Systems 36, 2024
2024
Differentiating the yield of chemical reactions using parameters in first-order kinetic equations to identify elementary steps that control the reactivity from complicated …
Y Harabuchi, T Yokoyama, W Matsuoka, T Oki, S Iwata, S Maeda
2023
Rate Constant Matrix Contraction Method for Stiff Master Equations with Detailed Balance
S Iwata, T Oki, S Sakaue
arXiv preprint arXiv:2312.05470, 2023
2023
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