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John Langford

Identifiers

  • name variant John Langford 0.60 · backfill

Papers (59)

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

Mentions

  • 0905.3369 #1 · backfill · confidence 0.70 John Langford
  • 0903.4217 #2 · backfill · confidence 0.70 John Langford
  • 0902.3176 #2 · backfill · confidence 0.70 John Langford
  • 0902.2206 #4 · backfill · confidence 0.70 John Langford
  • 0902.1284 #3 · backfill · confidence 0.70 John Langford
  • 0812.4952 #3 · backfill · confidence 0.70 John Langford
  • 0812.4044 #2 · backfill · confidence 0.70 John Langford
  • 0806.4686 #1 · backfill · confidence 0.70 John Langford

Frequent Coauthors