Kaito Ariu

papers

total citations

papers (11)

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium

AAAI 2025arXiv

citations

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

AAAI 2024arXiv

citations

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games

ICLR 2025arXiv

citations

Matroid Semi-Bandits in Sublinear Time

ICML 2024arXiv

citations

Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model

ICML 2025arXiv

citations

Last Iterate Convergence in Monotone Mean Field Games

NEURIPS 2025arXiv

citations

Learning from Delayed Feedback in Games via Extra Prediction

NEURIPS 2025arXiv

citations

Kaito Ariu

papers (11)

Adaptively Perturbed Mirror Descent for Learning in Games

Model-Based Minimum Bayes Risk Decoding for Text Generation

Regret in Online Recommendation Systems

On Universally Optimal Algorithms for A/B Testing

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games

Matroid Semi-Bandits in Sublinear Time

Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model

Last Iterate Convergence in Monotone Mean Field Games

Learning from Delayed Feedback in Games via Extra Prediction

papers (11)

Adaptively Perturbed Mirror Descent for Learning in Games

Model-Based Minimum Bayes Risk Decoding for Text Generation

Regret in Online Recommendation Systems

On Universally Optimal Algorithms for A/B Testing

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games

Matroid Semi-Bandits in Sublinear Time

Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model

Last Iterate Convergence in Monotone Mean Field Games

Learning from Delayed Feedback in Games via Extra Prediction