Gordon, Geoffrey J.
- A Reduction of Imitation Learning and Structured Prediction to No-Regret\n Online Learning
2010/11/02 by Stéphane Ross, Ross, Stephane, Geoffrey J. Gordon +3 · 392 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
- An Empirical Study of Example Forgetting during Deep Neural Network Learning
2018/12/12 by Mariya Toneva, Alessandro Sordoni, Toneva, Mariya +9 · 61 citations
Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
- Inherent Tradeoffs in Learning Fair Representations
2019/06/19 by Han Zhao, Geoffrey J. Gordon, Zhao, Han +1 · 11 citations
Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Privacy-Preserving Technologies in Data
- Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
2017/03/02 by Wen Sun, Arun Venkatraman, Sun, Wen +7 · 12 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- On Learning Invariant Representation for Domain Adaptation
2019/01/27 by Han Zhao, Zhao, Han, Rémi Tachet des Combes +5 · 16 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Multimodal Machine Learning Applications
- Conditional Learning of Fair Representations
2019/10/16 by Han Zhao, Amanda Coston, Zhao, Han +5 · 8 citations
Social Sciences · #Ethics and Social Impacts of AI
- Closing the Learning-Planning Loop with Predictive State Representations
2009/12/12 by Boots, Byron, Siddiqi, Sajid M., Gordon, Geoffrey J. · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fundamental Limits and Tradeoffs in Invariant Representation Learning
2020/12/19 by Han Zhao, Dan Chen, Zhao, Han +9 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Multiple Source Domain Adaptation with Adversarial Training of Neural\n Networks
2017/05/26 by Han Zhao, Zhao, Han, Shanghang Zhang +9 · 3 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
- Dual Policy Iteration
2018/05/28 by Wen Sun, Geoffrey J. Gordon, Sun, Wen +5 · 3 citations
Computer Science · #Advanced Neural Network Applications #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians
2018/08/14 by Li, Haichen, Collins, Christopher, Tanha, Matteus +2 · 1 citation
#Chemical Physics (physics.chem-ph) #FOS: Physical sciences
- Understanding and Mitigating Accuracy Disparity in Regression
2021/02/24 by Chi, Jianfeng, Tian, Yuan, Gordon, Geoffrey J. +1 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning
2024/07/22 by Zhuorui Ye, Ye, Zhuorui, Stephanie Milani +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistical and Computational Modeling
- CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
2025/02/12 by Grover, Karish, Gordon, Geoffrey J., Faloutsos, Christos · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)