Tetsuro Morimura
14 papers · 2009–2025 · 9 venues · across top CS/AI venues
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Achievements
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(3)
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Research topics
Machine Learning
(12)
Optimization & Theory
(11)
Artificial Intelligence
(6)
Core AI
(5)
Reinforcement Learning
(4)
Methods
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Core Methods
(3)
Learning Types
(3)
Generation
(2)
Mathematics
(2)
Optimization
(2)
Deep Learning
(1)
Application Areas
(1)
Keywords
text generation
(4)
minimum bayes risk
(3)
natural gradient
(2)
language model
(2)
language model alignment
(2)
reinforcement learning
(2)
minimum bayes risk decoding
(2)
policy gradient
(2)
preference learning
(1)
collaborative filtering
(1)
anomaly detection
(1)
utility optimization
(1)
probability estimation
(1)
reinforcement learning from human feedback
(1)
variance reduction
(1)
neural machine translation
(1)
gaussian process regression
(1)
natural policy gradient
(1)
model alignment
(1)
markov decision process
(1)
Papers
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
NAACL 2025
Theoretical Guarantees for Minimum Bayes Risk Decoding
ACL 2025
Filtered Direct Preference Optimization
EMNLP 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
ACL 2024
Model-Based Minimum Bayes Risk Decoding for Text Generation
ICML 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
NAACL 2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation
NAACL 2024
Safe Collaborative Filtering
ICLR 2024
Weight Features for Predicting Future Model Performance of Deep Neural Networks
IJCAI 2016
A Consistent Method for Graph Based Anomaly Localization
AISTATS 2015
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion
AISTATS 2015
Solving inverse problem of Markov chain with partial observations
NeurIPS 2013
Adaptive Step-size Policy Gradients with Average Reward Metric
ACML 2010
A Generalized Natural Actor-Critic Algorithm
NeurIPS 2009