Youhei Akimoto
11 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Machine Learning
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Core AI
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Optimization & Theory Β· Machine Learning
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Deep Learning
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Learning Types Β· Machine Learning
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Computer Vision
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Mathematics & Optimization
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Learning Types Β· Deep Learning
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Optimization
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Optimization & Theory Β· Deep Learning
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Natural Language Processing
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Reinforcement Learning
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Keywords
neural architecture search
(2)
one-shot learning
(2)
causal inference
(1)
robust optimization
(1)
warm starting
(1)
reward modeling
(1)
false discovery rate
(1)
gradient-based optimization
(1)
policy optimization
(1)
sim-to-real transfer
(1)
black-box optimization
(1)
transfer learning
(1)
convex optimization
(1)
model misspecification
(1)
hyperparameter optimization
(1)
concept-based explanation
(1)
preference learning
(1)
direct preference optimization
(1)
knowledge transfer
(1)
image classification
(1)
Papers
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
AAAI 2026
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
AISTATS 2025
Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
ACML 2025
Stepwise Alignment for Constrained Language Model Policy Optimization
NeurIPS 2024
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
IJCAI 2023
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
NeurIPS 2022
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation
AAAI 2022
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
AAAI 2021
Warm Starting CMA-ES for Hyperparameter Optimization
AAAI 2021
Generate (Non-Software) Bugs to Fool Classifiers
AAAI 2020
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
ICML 2019