Taihei Oki

Orcid: 0000-0002-6862-9484

According to our database1, Taihei Oki authored at least 32 papers between 2016 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Online Inverse Linear Optimization: Improved Regret Bound, Robustness to Suboptimality, and Toward Tight Regret Analysis.
CoRR, January, 2025

Algebraic Algorithms for Fractional Linear Matroid Parity via Noncommutative Rank.
SIAM J. Comput., 2025

2024
Fractional Linear Matroid Matching is in quasi-NC.
Electron. Colloquium Comput. Complex., 2024

Fast and Numerically Stable Implementation of Rate Constant Matrix Contraction Method.
CoRR, 2024

Position Fair Mechanisms Allocating Indivisible Goods.
CoRR, 2024

Algorithmic aspects of semistability of quiver representations.
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

Problems on Group-Labeled Matroid Bases.
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
Computing valuations of the Dieudonné determinants.
J. Symb. Comput., 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

Algebraic Algorithms for Fractional Linear Matroid Parity via Non-commutative Rank.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case.
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

Lazy and Fast Greedy MAP Inference for Determinantal Point Process.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Dynamic Programming Approach to the Generalized Minimum Manhattan Network Problem.
Algorithmica, 2021

2020
On Solving (Non)commutative Weighted Edmonds' Problem.
Proceedings of the 47th International Colloquium on Automata, Languages, and Programming, 2020

2019
Index Reduction for Differential-algebraic Equations with Mixed Matrices.
J. ACM, 2019

A Generalized Matrix-Tree Theorem for Pfaffian Pairs.
CoRR, 2019

Computing the Maximum Degree of Minors in Skew Polynomial Matrices.
CoRR, 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
A compact representation for minimizers of k-submodular functions.
J. Comb. Optim., 2018

2017
Multi-dimensional Graph Fourier Transform.
CoRR, 2017

2016
A Compact Representation for Minimizers of k-Submodular Functions (Extended Abstract).
Proceedings of the Combinatorial Optimization - 4th International Symposium, 2016


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