Kohei Miyaguchi
8 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (22)
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Conference Polyglot
(6)
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Academic Marathon
(5)
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Cross-Pollinator
(5)
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Grand Slam
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Conference Pioneer
Conferences
NIPS (3)
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
neural network
(2)
stochastic gradient descent
(2)
molecular optimization
(1)
online learning
(1)
policy optimization
(1)
bayesian inference
(1)
markov decision process
(1)
worst-case policy value
(1)
time series forecasting
(1)
hierarchical model
(1)
statistical estimation
(1)
adaptive learning rate
(1)
minimax regret
(1)
learning rate
(1)
logarithmic loss
(1)
sample complexity
(1)
sample complexity bound
(1)
distributional discrepancy
(1)
policy suboptimality
(1)
offline reinforcement learning
(1)
Papers
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
NIPS 2024
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
ICML 2023
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
ICLR 2022
Hierarchical Lattice Layer for Partially Monotone Neural Networks
NIPS 2022
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
IJCAI 2022
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
NIPS 2021
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity
AISTATS 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
AAAI 2019