Taihei Oki
Orcid: 0000-0002-6862-9484
According to our database1,
Taihei Oki
authored at least 32 papers
between 2016 and 2025.
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Bibliography
2025
Online Inverse Linear Optimization: Improved Regret Bound, Robustness to Suboptimality, and Toward Tight Regret Analysis.
CoRR, January, 2025
SIAM J. Comput., 2025
2024
Electron. Colloquium Comput. Complex., 2024
Fast and Numerically Stable Implementation of Rate Constant Matrix Contraction Method.
CoRR, 2024
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
No-Regret M<sup>♮</sup>-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Structural Preprocessing Method for Nonlinear Differential-Algebraic Equations Using Linear Symbolic Matrices.
Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation, 2024
Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024
Online Structured Prediction with Fenchel-Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
Rate Constant Matrix Contraction Method for Stiff Master Equations with Detailed Balance.
CoRR, 2023
Algebraic combinatorial optimization on the degree of determinants of noncommutative symbolic matrices.
CoRR, 2023
Data-Driven Projection for Reducing Dimensionality of Linear Programs: Generalization Bound and Learning Methods.
CoRR, 2023
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L<sup>♮</sup>-Convex Function Minimization.
Proceedings of the International Conference on Machine Learning, 2023
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Pfaffian Pairs and Parities: Counting on Linear Matroid Intersection and Parity Problems.
SIAM J. Discret. Math., September, 2022
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Algorithmica, 2021
2020
Proceedings of the 47th International Colloquium on Automata, Languages, and Programming, 2020
2019
J. ACM, 2019
Improved Structural Methods for Nonlinear Differential-Algebraic Equations via Combinatorial Relaxation.
Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation, 2019
2018
J. Comb. Optim., 2018
2017
2016
A Compact Representation for Minimizers of k-Submodular Functions (Extended Abstract).
Proceedings of the Combinatorial Optimization - 4th International Symposium, 2016