- Mach Learn (2009) 75: 297325 DOI 10.1007/s10994-009-5106-x
- Classi cation Precipitation
- Relating Reinforcement Learning Performance to Classification Performance
- distribution 'uncontaminated'
- Companion to \Provably Secure Steganography" Nicholas J. Hopper, John Langford, and Luis von Ahn
- Maintaining Equilibria During Exploration in Sponsored Search Auctions
- Self-Financed Wagering Mechanisms for Forecasting Nicolas Lambert
- PAC Model-Free Reinforcement Learning Alexander L. Strehl strehl@cs.rutgers.edu
- Background: http://hunch.net/~jl/projects/reductions/reductions.html
- FeatureBoost: A MetaLearning Algorithm that Improves Model Robustness
- applications empirically.
- Error Limiting Reductions Between Classification Tasks Keywords: supervised learning, reductions, classification
- Robust Reductions from Ranking to Classification Maria-Florina Balcan1
- Reinforcement http://hunch.net/~jl/tutorial/RL.html
- Telling Humans and Computers Apart (Automatically) How Lazy Cryptographers do AI
- Relating Reinforcement Learning Performance to Classification Performance
- Using Hard AI Problems For Security Luis von Ahn 1 , Manuel Blum 1 , Nicholas J. Hopper 1 , and John Langford 2
- Active Learning via Reduction To Supervised Classification
- Covert TwoParty Computation Luis von Ahn
- Machine Learning Techniques--Reductions Between Prediction Quality Metrics
- PAC ModelFree Reinforcement Learning Alexander L. Strehl strehl@cs.rutgers.edu
- Weighted OneAgainstAll Alina Beygelzimer
- Journal of Machine Learning Research 10 (2009) 719-743 Submitted 6/08; Revised 11/08; Published 3/09 Sparse Online Learning via Truncated Gradient
- Sparse Online Learning via Truncated Gradient John Langford
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- CentMail: Rate Limiting via Certified Micro-Donations Sharad Goel Jake Hofman John Langford
- Predictive Indexing for Fast Search Sharad Goel
- Decision Theoretic Particle Filters Sebastian Thrun, John Langford, Vandi Verma
- FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
- Exploration Scavenging John Langford jl@yahoo-inc.com
- The Epoch-Greedy Algorithm for Contextual Multi-armed Bandits
- Agnostic Active Learning Maria-Florina Balcan ninamf@cs.cmu.edu
- Predicting Conditional Quantiles via Reduction to Classification John Langford
- COVER TREES FOR NEAREST NEIGHBOR ALINA BEYGELZIMER, SHAM KAKADE, AND JOHN LANGFORD
- X Y = {0, 1}
- 1- f(, )
- PAC Model-Free Reinforcement Learning
- Agnostic Active Learning Maria-Florina Balcan
- Sparse Online Learning via Truncated Gradient: Appendix 1 Proof of Main Results
- Journal of Machine Learning Research 11 (2009) xxx-xxx Submitted 02/09; Published 06/09 Hash Kernels for Structured Data
- Covert Two-Party Computation Luis von Ahn
- Graph approximations to geodesics on embedded manifolds
- Journal of Machine Learning Research 6 (2005) 211 244 Submitted 10/02; Revised 11/04; Published 2/05 Tutorial on Practical Prediction Theory for Classi cation
- Comparison of the Cover Tree and sb(S) Datastructures Additional Experiments
- Generalization indepedence.
- Monte Carlo Hidden Markov Models Sebastian Thrun and John Langford
- Predicting Conditional Quantiles via Reduction to Classification John Langford
- Continuous Experts and the Binning Algorithm Jacob Abernethy1
- Machine Learning manuscript No. (will be inserted by the editor)
- An Iterative Method for Multiclass Costsensitive Learning Mathematical Sciences Dept.
- Decision Theoretic Particle Filters Sebastian Thrun, John Langford, Vandi Verma
- Continuous Experts and the Binning Algorithm Jacob Abernethy 1 , John Langford 1 , and Manfred K. Warmuth 23
- Weighted One-Against-All Alina Beygelzimer
