Kaito Ariu
18 papers · 2020–2026 · 10 venues · across top CS/AI venues
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Venues
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Research topics
Machine Learning
(14)
Optimization & Theory
(11)
Mathematics & Optimization
(8)
Optimization
(8)
Artificial Intelligence
(7)
Core AI
(6)
Natural Language Processing
(4)
Learning Types
(4)
Generation
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Reinforcement Learning
(2)
Applications
(2)
Core Methods
(2)
Methods
(2)
Keywords
nash equilibrium
(5)
game theory
(4)
regret bound
(3)
text generation
(3)
minimum bayes risk
(3)
zero-sum game
(3)
language model alignment
(2)
learning dynamics
(2)
minimum bayes risk decoding
(2)
gradient ascent
(2)
language model
(2)
contextual bandit
(2)
last-iterate convergence
(2)
payoff perturbation
(2)
continuous optimization
(1)
computational complexity
(1)
direct preference optimization
(1)
sample complexity
(1)
preference learning
(1)
text summarization
(1)
Papers
The Role of Contextual Information in Best Arm Identification
JMLR 2026
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
ICLR 2025
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
NAACL 2025
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
ICML 2025
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
AAAI 2025
Theoretical Guarantees for Minimum Bayes Risk Decoding
ACL 2025
Adaptively Perturbed Mirror Descent for Learning in Games
ICML 2024
Filtered Direct Preference Optimization
EMNLP 2024
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
ACL 2024
Matroid Semi-Bandits in Sublinear Time
ICML 2024
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
AAAI 2024
Model-Based Minimum Bayes Risk Decoding for Text Generation
ICML 2024
On Universally Optimal Algorithms for A/B Testing
ICML 2024
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
AISTATS 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
IJCAI 2023
Thresholded Lasso Bandit
ICML 2022
Optimal Algorithms for Multiplayer Multi-Armed Bandits
AISTATS 2020
Regret in Online Recommendation Systems
NeurIPS 2020