conftrace_
← Authors

Takayuki Osogami

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

Achievements

Jump to papers ↓
+10 more ↓ 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭 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