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John Langford

Identifiers

  • name variant John Langford 0.60 · backfill

Papers (60)

  1. MEMENTO: Teaching LLMs to Manage Their Own Context cs.AI · 2026 · author #9
  2. Next-Latent Prediction Transformers Learn Compact World Models cs.LG · 2025 · author #10
  3. Efficient Forward Architecture Search cs.LG · 2019 · author #2
  4. Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback cs.LG · 2019 · author #4
  5. Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches cs.LG · 2018 · author #5
  6. Contextual Memory Trees cs.LG · 2018 · author #4
  7. A Reductions Approach to Fair Classification cs.LG · 2018 · author #4
  8. On Oracle-Efficient PAC RL with Rich Observations cs.LG · 2018 · author #5
  9. Efficient Contextual Bandits in Non-stationary Worlds cs.LG · 2017 · author #4
  10. Learning Deep ResNet Blocks Sequentially using Boosting Theory cs.LG · 2017 · author #3
  11. Mapping Instructions and Visual Observations to Actions with Reinforcement Learning cs.CL · 2017 · author #2
  12. Contextual Decision Processes with Low Bellman Rank are PAC-Learnable cs.LG · 2016 · author #4
  13. Logarithmic Time One-Against-Some stat.ML · 2016 · author #3
  14. Making Contextual Decisions with Low Technical Debt cs.LG · 2016 · author #5
  15. Off-policy evaluation for slate recommendation cs.LG · 2016 · author #5
  16. Search Improves Label for Active Learning cs.LG · 2016 · author #3
  17. PAC Reinforcement Learning with Rich Observations cs.LG · 2016 · author #3
  18. Efficient Second Order Online Learning by Sketching cs.LG · 2016 · author #4
  19. Efficient and Parsimonious Agnostic Active Learning cs.LG · 2015 · author #4
  20. Orbiting Radiation Stars gr-qc · 2015 · author #2
  21. Learning to Search for Dependencies cs.CL · 2015 · author #4
  22. Doubly Robust Policy Evaluation and Optimization stat.ME · 2015 · author #3
  23. Learning Reductions that Really Work cs.LG · 2015 · author #3
  24. Learning to Search Better Than Your Teacher cs.LG · 2015 · author #5
  25. Scalable Nonlinear Learning with Adaptive Polynomial Expansions cs.LG · 2014 · author #4
  26. Normalized Online Learning cs.LG · 2014 · author #3
  27. Conditional Probability Tree Estimation Analysis and Algorithms cs.LG · 2014 · author #2
  28. A Credit Assignment Compiler for Joint Prediction cs.LG · 2014 · author #4
  29. Logarithmic Time Online Multiclass prediction cs.LG · 2014 · author #2
  30. Resourceful Contextual Bandits cs.LG · 2014 · author #2
  31. Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits cs.LG · 2014 · author #4
  32. Efficient Online Bootstrapping for Large Scale Learning cs.LG · 2013 · author #5
  33. Para-active learning cs.LG · 2013 · author #4
  34. Normalized Online Learning cs.LG · 2013 · author #3
  35. Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits cs.LG · 2012 · author #3
  36. Proceedings of the 29th International Conference on Machine Learning (ICML-12) cs.LG · 2012 · author #1
  37. Predicting Conditional Quantiles via Reduction to Classification cs.LG · 2012 · author #1
  38. Contextual Bandit Learning with Predictable Rewards cs.LG · 2012 · author #4
  39. Learning Performance of Prediction Markets with Kelly Bettors cs.AI · 2012 · author #2
  40. A Reliable Effective Terascale Linear Learning System cs.LG · 2011 · author #4
  41. Efficient Optimal Learning for Contextual Bandits cs.LG · 2011 · author #5
  42. Doubly Robust Policy Evaluation and Learning cs.LG · 2011 · author #2
  43. Parallel Online Learning cs.LG · 2011 · author #3
  44. Online Importance Weight Aware Updates cs.LG · 2010 · author #2
  45. Agnostic Active Learning Without Constraints cs.LG · 2010 · author #3
  46. Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms cs.LG · 2010 · author #3
  47. A Contextual-Bandit Approach to Personalized News Article Recommendation cs.LG · 2010 · author #3
  48. Learning from Logged Implicit Exploration Data cs.LG · 2010 · author #2
  49. Contextual Bandit Algorithms with Supervised Learning Guarantees cs.LG · 2010 · author #2
  50. Search-based Structured Prediction cs.LG · 2009 · author #2
  51. Learning Nonlinear Dynamic Models cs.AI · 2009 · author #1
  52. Conditional Probability Tree Estimation Analysis and Algorithms cs.LG · 2009 · author #2
  53. Error-Correcting Tournaments cs.AI · 2009 · author #2
  54. Feature Hashing for Large Scale Multitask Learning cs.AI · 2009 · author #4
  55. Multi-Label Prediction via Compressed Sensing cs.LG · 2009 · author #3
  56. Importance Weighted Active Learning cs.LG · 2008 · author #3
  57. The Offset Tree for Learning with Partial Labels cs.LG · 2008 · author #2
  58. Sparse Online Learning via Truncated Gradient cs.LG · 2008 · author #1
  59. Suboptimal behaviour of Bayes and MDL in classification under misspecification math.ST · 2004 · author #2
  60. Generic Quantum Block Compression quant-ph · 2001 · author #1

Mentions

  • 2511.05963 #10 · arxiv_oai · confidence 0.70 John Langford
  • 1210.4862 #3 · backfill · confidence 0.70 John Langford
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Frequent Coauthors