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John Langford

  1. Doubly Robust Policy Evaluation and Learning
    2011/03/23 by Miroslav Dudı́k, John Langford, Dudik, Miroslav +3 · 55 citations
    Decision Sciences · Health Professions · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Healthcare Operations and Scheduling Optimization #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  2. Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
    2014/02/04 by Alekh Agarwal, Daniel Hsu, Agarwal, Alekh +9 · 63 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Data Stream Mining Techniques
  3. A Reductions Approach to Fair Classification
    2018/03/06 by Alekh Agarwal, Agarwal, Alekh, Alina Beygelzimer +7 · 46 citations
    Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  4. Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
    2016/10/29 by Nan Jiang, Jiang, Nan, Akshay Krishnamurthy +7 · 25 citations
    Computer Science · Engineering · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  5. Contextual Bandit Algorithms with Supervised Learning Guarantees
    2010/02/22 by Alina Beygelzimer, Beygelzimer, Alina, John Langford +7 · 18 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  6. Doubly Robust Policy Evaluation and Optimization
    2014/11/01 by Miroslav Dudík, Dumitru Erhan, John Langford +1 · 15 citations
  7. Feature Hashing for Large Scale Multitask Learning
    2009/02/12 by Kilian Q. Weinberger, Weinberger, Kilian, Anirban Dasgupta +7 · 12 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
  8. Multi-Label Prediction via Compressed Sensing
    2009/02/08 by Daniel Hsu, Hsu, Daniel, Sham M. Kakade +5 · 13 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  9. Proceedings of the 29th International Conference on Machine Learning (ICML-12)
    2012/07/19 by John Langford, Joëlle Pineau, Langford, John +1 · 13 citations
    Computer Science · #Natural Language Processing Techniques
  10. Provably efficient RL with Rich Observations via Latent State Decoding
    2019/01/25 by Simon S. Du, Du, Simon S., Akshay Krishnamurthy +9 · 17 citations
    Computer Science · #Machine Learning and Algorithms #Data Stream Mining Techniques #Adversarial Robustness in Machine Learning
  11. The Belief State Transformer
    2024/10/30 by Edward S. Hu, Kwangjun Ahn, Hu, Edward S. +21 · 3 voices · 9 citations
    Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Intelligent Tutoring Systems and Adaptive Learning #cs.AI #cs.CL #cs.LG
  12. Learning to Search Better Than Your Teacher
    2015/02/08 by Kai-Wei Chang, Chang, Kai-Wei, Akshay Krishnamurthy +7 · 12 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  13. Off-policy evaluation for slate recommendation
    2016/05/16 by Adith Swaminathan, Swaminathan, Adith, Akshay Krishnamurthy +11 · 8 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems
  14. Resourceful Contextual Bandits
    2014/02/27 by Ashwinkumar Badanidiyuru, John Langford, Badanidiyuru, Ashwinkumar +3 · 7 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Optimization and Search Problems #Auction Theory and Applications
  15. Contextual Bandit Learning with Predictable Rewards
    2012/02/07 by Alekh Agarwal, Agarwal, Alekh, Miroslav Dudı́k +7 · 5 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
  16. Dion: Distributed Orthonormalized Updates
    2025/04/07 by Kwangjun Ahn, Byron Xu, Ahn, Kwangjun +11 · 22 citations
    Materials Science · Physics and Astronomy · Computer Science · #Machine Learning in Materials Science #Particle physics theoretical and experimental studies #Stochastic Gradient Optimization Techniques
  17. A Reliable Effective Terascale Linear Learning System
    2011/10/19 by Alekh Agarwal, Olivier Chapelle, Agarwal, Alekh +5 · 7 citations
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  18. Next-Latent Prediction Transformers Learn Compact World Models
    2025/11/08 by Jayden Teoh, J. J. Teoh, Teoh, Jayden +18 · 4 voices · 3 citations
    Computer Science · #cs.LG
  19. Efficient Second Order Online Learning by Sketching
    2016/02/06 by Haipeng Luo, Luo, Haipeng, Alekh Agarwal +5 · 4 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Data Stream Mining Techniques
  20. Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
    2019/02/05 by Akshay Krishnamurthy, John Langford, Krishnamurthy, Akshay +5 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  21. Logarithmic Time Online Multiclass prediction
    2014/06/06 by Anna Choromanska, Choromanska, Anna, John Langford +1 · 5 citations
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Imbalanced Data Classification Techniques
  22. A Contextual Bandit Bake-off
    2018/02/12 by Alberto Bietti, Bietti, Alberto, Alekh Agarwal +3 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  23. Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
    2022/07/17 by Alex Lamb, Lamb, Alex, Riashat Islam +17 · 5 citations
    Computer Science · #Time Series Analysis and Forecasting #Reinforcement Learning in Robotics #AI-based Problem Solving and Planning
  24. Streaming Active Learning with Deep Neural Networks
    2023/03/05 by Akanksha Saran, Safoora Yousefi, Saran, Akanksha +7 · 6 citations
    Computer Science · #Machine Learning and Algorithms #Data Stream Mining Techniques #Machine Learning and Data Classification
  25. Learning Deep ResNet Blocks Sequentially using Boosting Theory
    2017/06/15 by Furong Huang, Huang, Furong, Jordan T. Ash +5 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  26. Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
    2024/09/27 by Mucong Ding, Chenghao Deng, Ding, Mucong +18 · 7 citations
    Computer Science · #Natural Language Processing Techniques
  27. Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead
    2025/03/31 by Vidhisha Balachandran, Balachandran, Vidhisha, Chen, Jingya +18 · 12 citations
    Computer Science · Materials Science · #Topic Modeling #Multimodal Machine Learning Applications #Machine Learning in Materials Science
  28. Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
    2022/10/31 by Riashat Islam, Islam, Riashat, Manan Tomar +19 · 3 citations
    Computer Science · Mathematics · Neuroscience · #Artificial Intelligence (cs.AI) #COVID-19 epidemiological studies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Reinforcement Learning in Robotics #Robotics (cs.RO)
  29. PAC Reinforcement Learning with Rich Observations
    2016/02/08 by Akshay Krishnamurthy, Krishnamurthy, Akshay, Alekh Agarwal +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  30. Error-Correcting Tournaments
    2009/02/18 by Alina Beygelzimer, Beygelzimer, Alina, John Langford +3 · 2 citations
    Computer Science · #Imbalanced Data Classification Techniques #Machine Learning and Algorithms #Bayesian Modeling and Causal Inference
  31. Online Importance Weight Aware Updates
    2010/11/06 by Nikos Karampatziakis, John Langford, Karampatziakis, Nikos +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  32. Efficient Joint Prediction of Multiple Future Tokens
    2025/03/24 by Kwangjun Ahn, Ahn, Kwangjun, Alex Lamb +3 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  33. Learning Reductions that Really Work
    2015/02/09 by Alina Beygelzimer, Hal Daumé, Beygelzimer, Alina +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  34. On Oracle-Efficient PAC RL with Rich Observations
    2018/03/01 by Christoph Dann, Dann, Christoph, Nan Jiang +9 · 1 citation
    Computer Science · Decision Sciences · #Auction Theory and Applications #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  35. Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
    2019/01/02 by Chicheng Zhang, Alekh Agarwal, Zhang, Chicheng +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  36. Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
    2019/11/13 by Dipendra Misra, Mikael Henaff, Misra, Dipendra +5 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robot Manipulation and Learning
  37. Provable RL with Exogenous Distractors via Multistep Inverse Dynamics
    2021/10/17 by Yonathan Efroni, Dipendra Misra, Efroni, Yonathan +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  38. Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
    2022/02/10 by Alberto Bietti, Bietti, Alberto, Chen-Yu Wei +7 · 1 citation
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  39. EyeO: Autocalibrating Gaze Output with Gaze Input
    2023/07/27 by Akanksha Saran, Jacob Alber, Saran, Akanksha +8 · 1 citation
    Computer Science · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Human-Computer Interaction (cs.HC)
  40. Dion2: A Simple Method to Shrink Matrix in Muon
    2025/12/01 by Kwangjun Ahn, Ahn, Kwangjun, Noah Amsel +3 · 1 citation
    Engineering · Physics and Astronomy · #Muon and positron interactions and applications #Particle physics theoretical and experimental studies #Neutrino Physics Research