Takayuki Osogami
18 papers · 2012–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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(100)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Core Methods
(7)
Reinforcement Learning
(5)
Core AI
(5)
Learning Types
(5)
Applications
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Application Areas
(2)
Learning Paradigms
(2)
Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Keywords
reinforcement learning
(2)
multi-agent system
(2)
markov decision process
(2)
probabilistic modeling
(2)
molecular optimization
(1)
robust optimization
(1)
matrix decomposition
(1)
few-shot learning
(1)
semantic segmentation
(1)
policy evaluation
(1)
policy optimization
(1)
policy gradient
(1)
mechanism design
(1)
probability estimation
(1)
forward model
(1)
temporal difference learning
(1)
natural gradient
(1)
label noise
(1)
belief state
(1)
stochastic optimization
(1)
Papers
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
NeurIPS 2024
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning
IJCAI 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
ICML 2023
Learning Efficient Truthful Mechanisms for Trading Networks
IJCAI 2023
Regression with Sensor Data Containing Incomplete Observations
ICML 2023
Second Order Techniques for Learning Time-series with Structural Breaks
AAAI 2021
Uncorrected Least-Squares Temporal Difference with Lambda-Return
AAAI 2020
Determinantal Reinforcement Learning
AAAI 2019
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition
ACML 2019
Bidirectional Learning for Time-series Models with Hidden Units
ICML 2017
Gated Probabilistic Matrix Factorization: Learning Usersβ Attention from Missing Values
IJCAI 2016
Truncating Shortest Path Search for Efficient Map-Matching
IJCAI 2016
Robust partially observable Markov decision process
ICML 2015
Restricted Boltzmann machines modeling human choice
NeurIPS 2014
Improved Integer Programming Approaches for Chance-Constrained Stochastic Programming
IJCAI 2013
Map Matching with Inverse Reinforcement Learning
IJCAI 2013
Solving inverse problem of Markov chain with partial observations
NeurIPS 2013
Robustness and risk-sensitivity in Markov decision processes
NeurIPS 2012