← Authors

Takayuki Osogami

18 papers · 2012–2024 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐺 Lone Wolf (4) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (91) πŸ“ˆ Trend Setter πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer

Conferences

IJCAI (6) ICML (4) NIPS (4) AAAI (3) ACML (1)

Top co-authors

Rudy Raymond (3) Takayuki Katsuki (2) Hiroshi Kajino (2) Haoxiang Qiu (1) Daiki Kimura (1) Tetsuro Morimura (1) Taro Sekiyama (1) Alexander Zadorojniy (1) Makoto Otsuka (1) Kohei Miyaguchi (1)

Research topics

Reinforcement Learning (1)

Keywords

multi-agent system (2) probabilistic modeling (2) markov decision process (2) reinforcement learning (2) policy gradient (1) temporal difference learning (1) robust optimization (1) kullback-leibler divergence (1) molecular optimization (1) policy optimization (1) few-shot learning (1) mechanism design (1) probability estimation (1) natural gradient (1) forward model (1) policy evaluation (1) label noise (1) belief state (1) semantic segmentation (1) matrix decomposition (1)

Papers

A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NIPS 2024
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023
Learning Efficient Truthful Mechanisms for Trading Networks IJCAI 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies ICML 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
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition ACML 2019
Determinantal Reinforcement Learning AAAI 2019
Bidirectional Learning for Time-series Models with Hidden Units ICML 2017
Truncating Shortest Path Search for Efficient Map-Matching IJCAI 2016
Gated Probabilistic Matrix Factorization: Learning Users’ Attention from Missing Values IJCAI 2016
Robust partially observable Markov decision process ICML 2015
Restricted Boltzmann machines modeling human choice NIPS 2014
Solving inverse problem of Markov chain with partial observations NIPS 2013
Map Matching with Inverse Reinforcement Learning IJCAI 2013
Improved Integer Programming Approaches for Chance-Constrained Stochastic Programming IJCAI 2013
Robustness and risk-sensitivity in Markov decision processes NIPS 2012