About
Discord Stateoftheart AI
GitHub

Publications

242

Cited by

37853

John Langford

machine learninglearning theory
Microsoft

United States

Papers and Citations

1 - 50
A global geometric framework for nonlinear dimensionality reduction
2000
Joshua B. Tenenbaum
John Langford
V De Silva
Cited by 13799
CAPTCHA: Using hard AI problems for security
2003
Nicholas Hopper
John Langford
M Blum
+1
Cited by 1810
A contextual-bandit approach to personalized news article recommendation
2010
John Langford
Robert Schapire
L Li
+1
Cited by 1702
Telling humans and computers apart automatically
2004
John Langford
M Blum
L Von Ahn
Cited by 1073
Cover trees for nearest neighbor
2006
Sham M Kakade
John Langford
A Beygelzimer
Cited by 860
Feature hashing for large scale multitask learning
2009
Kilian Weinberger
Anirban Dasgupta
Alex Smola
+2
Cited by 795
The isomap algorithm and topological stability
2002
Joshua B. Tenenbaum
John Langford
Mukund Balasubramanian
+2
Cited by 765
Cost-sensitive learning by cost-proportionate example weighting
2003
John Langford
Bianca Zadrozny
Naokie Abe
Cited by 691
Search-based structured prediction
2009
John Langford
D Marcu
H Daumé
Cited by 555
Sparse online learning via truncated gradient
2009
Tong Zhang
John Langford
L Li
Cited by 492
The epoch-greedy algorithm for multi-armed bandits with side information
2008
John Langford
Tong Zhang
Cited by 477
Approximately optimal approximate reinforcement learning
2002
Sham M Kakade
John Langford
Cited by 471
Agnostic active learning
2009
John Langford
Maria-Florina Balcan
A Beygelzimer
Cited by 470
Multi-label prediction via compressed sensing
2009
Sham M Kakade
Daniel Hsu
John Langford
+1
Cited by 440
Sparse Online Learning via Truncated Gradient.
2009
Tong Zhang
John Langford
L Li
Cited by 437
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
2011
Xuanhui Wang
John Langford
W Chu
+1
Cited by 424
PAC model-free reinforcement learning
2006
John Langford
Michael Littman
AL Strehl
+2
Cited by 407
Doubly robust policy evaluation and learning
2011
John Langford
L Li
M Dudík
Cited by 384
A Reliable Effective Terascale Linear Learning System
2011
Miroslav Dudik
John Langford
Alekh Agarwal
+1
Cited by 361
Graph approximations to geodesics on embedded manifolds
2000
John Langford
Joshua B. Tenenbaum
V De Silva
+1
Cited by 359
A reductions approach to fair classification
2018
Alina Beygelzimer
Miroslav Dudik
Alekh Agarwal
+4
Cited by 359
Tutorial on practical prediction theory for classification
2005
John Langford
Cited by 351
The epoch-greedy algorithm for contextual multi-armed bandits
2007
John Langford
Tong Zhang
Cited by 343
Outlier detection by active learning
2006
John Langford
Bianca Zadrozny
Naokie Abe
Cited by 337
Taming the monster: A fast and simple algorithm for contextual bandits
2014
Lihong Li
Satyen Kale
Daniel Hsu
+4
Cited by 323
Importance weighted active learning
2009
Sanjoy Dasgupta
John Langford
A Beygelzimer
Cited by 320
Beating the hold-out: Bounds for k-fold and progressive cross-validation
1999
John Langford
Avrim Blum
Adam Tauman Kalai
Cited by 283
Slow learners are fast
2009
John Langford
Alex Smola
M Zinkevich
Cited by 265
Provably secure steganography
2002
L Von Ahn
John Langford
Nicholas Hopper
Cited by 262
PAC-Bayes & margins
2003
John Shawe-Taylor
John Langford
Cited by 240
Hash kernels for structured data.
2009
Professor Javen Qinfeng Shi 史勤峰
James Petterson
Gideon Dror
+2
Cited by 228
Hash kernels for structured data
2009
Gideon Dror
John Langford
James Petterson
+3
Cited by 215
Efficient optimal learning for contextual bandits
2011
Tong Zhang
Nikos Karampatziakis
Miroslav Dudik
+4
Cited by 213
Contextual bandit algorithms with supervised learning guarantees
2010
Robert Schapire
John Langford
Lev Reyzin
+2
Cited by 186
Agnostic active learning without constraints
2010
Daniel Hsu
Tong Zhang
John Langford
+1
Cited by 175
Probabilistic planning in the graphplan framework
1999
John Langford
Avrim Blum
Cited by 173
Learning to search better than your teacher
2015
Hal Daume
John Langford
Alekh Agarwal
+3
Cited by 173
An iterative method for multi-class cost-sensitive learning
2004
Naokie Abe
Bianca Zadrozny
John Langford
Cited by 168
Learning from logged implicit exploration data
2010
Sham M Kakade
John Langford
A Strehl
+1
Cited by 151
Contextual decision processes with low bellman rank are pac-learnable
2016
Alekh Agarwal
Robert Schapire
John Langford
+2
Cited by 145
Exploration scavenging
2008
John Langford
J Wortman
A Strehl
Cited by 133
Mapping instructions and visual observations to actions with reinforcement learning
2017
Yoav Artzi
John Langford
Dipendra Misra
Cited by 131
Exploration in metric state spaces
2003
Sham M Kakade
Michael Kearns
John Langford
Cited by 129
The offset tree for learning with partial labels
2009
John Langford
A Beygelzimer
Cited by 122
Correlated equilibria in graphical games
2003
Michael Kearns
Sham M Kakade
John Langford
+1
Cited by 113
Hash kernels
2009
Alex Smola
James Petterson
Gideon Dror
+4
Cited by 110
Risk sensitive particle filters
2002
Vandi Verma
Sebastian Thrun
John Langford
Cited by 108
Doubly robust policy evaluation and optimization
2014
Dumitru Erhan
John Langford
M Dudík
+1
Cited by 103
Error-correcting tournaments
2009
Pradeep Ravikumar
John Langford
A Beygelzimer
Cited by 95
Error limiting reductions between classification tasks
2005
Bianca Zadrozny
Thomas P. Hayes
Varsha Dani
+2
Cited by 93