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Harrison, James

  1. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
    2023/12/11 by Avi Singh, Singh, Avi, John D. Co-Reyes +76 · 37 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  2. Learning Sampling Distributions for Robot Motion Planning
    2017/09/16 by Ichter, Brian, Harrison, James, Pavone, Marco · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  3. General-Purpose In-Context Learning by Meta-Learning Transformers
    2022/12/08 by Louis Kirsch, J. Harrison, Kirsch, Louis +5 · 14 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 Data Classification #Neural and Evolutionary Computing (cs.NE)
  4. Variational Bayesian Last Layers
    2024/04/17 by J. Harrison, Harrison, James, John Willes +3 · 13 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference
  5. LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
    2024/07/14 by Siddharth Nayak, Adelmo Morrison Orozco, Nayak, Siddharth +23 · 1 voice · 9 citations
    Computer Science · #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Robotics (cs.RO) #cs.MA #cs.RO
  6. VeLO: Training Versatile Learned Optimizers by Scaling Up
    2022/11/17 by Luke Metz, James Harrison, J. Harrison +22 · 2 voices · 4 citations
    Computer Science · #Advanced Neural Network Applications #Human Pose and Action Recognition #Machine Learning and Data Classification #cs.LG #math.OC #stat.ML
  7. Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework
    2020/08/26 by Thomas Lew, Lew, Thomas, Apoorva Sharma +7 · 4 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  8. A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
    2022/09/22 by Harrison, James, Metz, Luke, Sohl-Dickstein, Jascha · 5 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  9. Practical tradeoffs between memory, compute, and performance in learned optimizers
    2022/03/22 by Luke Metz, Metz, Luke, C. Daniel Freeman +7 · 3 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  10. Meta-Learning Priors for Efficient Online Bayesian Regression
    2018/07/24 by Harrison, James, Sharma, Apoorva, Pavone, Marco · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  11. Network Offloading Policies for Cloud Robotics: a Learning-based\n Approach
    2019/02/15 by Sandeep Chinchali, Apoorva Sharma, Chinchali, Sandeep +15 · 2 citations
    Computer Science · Engineering · #IoT and Edge/Fog Computing #Robotics and Automated Systems #Advanced Neural Network Applications
  12. Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
    2022/09/23 by Ivanovic, Boris, Harrison, James, Pavone, Marco · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  13. Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty
    2021/04/16 by Rohan Sinha, J. Harrison, Sinha, Rohan +5 · 2 citations
    Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  14. Bayesian Optimization via Continual Variational Last Layer Training
    2024/12/12 by Paul Brunzema, Brunzema, Paul, Mikkel Jordahn +9 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
  15. Graph Reinforcement Learning for Network Control via Bi-Level Optimization
    2023/05/16 by Gammelli, Daniele, Harrison, James, Yang, Kaidi +3 · 2 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
  16. Robust and Adaptive Planning under Model Uncertainty
    2019/01/09 by Sharma, Apoorva, Harrison, James, Tsao, Matthew +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Deep Reinforcement Learning amidst Lifelong Non-Stationarity
    2020/06/18 by Xie, Annie, Harrison, James, Finn, Chelsea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  18. Particle MPC for Uncertain and Learning-Based Control
    2021/04/06 by Dyro, Robert, Harrison, James, Sharma, Apoorva +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  19. Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
    2022/12/14 by Enders, Tobias, Harrison, James, Pavone, Marco +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Systems and Control (eess.SY) #electronic engineering #information engineering
  20. Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
    2021/04/23 by Gammelli, Daniele, Yang, Kaidi, Harrison, James +3 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  21. Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
    2023/04/21 by Li, Oscar, Harrison, James, Sohl-Dickstein, Jascha +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  22. Universal Neural Functionals
    2024/02/07 by Zhou, Allan, Finn, Chelsea, Harrison, James · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)