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John Langford Vis

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*2009
70EEAlina Beygelzimer, John Langford, Pradeep Ravikumar: Error-Correcting Tournaments. ALT 2009: 247-262
69EEKilian Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg: Feature hashing for large scale multitask learning. ICML 2009: 140
68EEAlina Beygelzimer, John Langford, Bianca Zadrozny: Tutorial summary: Reductions in machine learning. ICML 2009: 172
67EESanjoy Dasgupta, John Langford: Tutorial summary: Active learning. ICML 2009: 178
66EEAlina Beygelzimer, Sanjoy Dasgupta, John Langford: Importance weighted active learning. ICML 2009: 7
65EEJohn Langford, Ruslan Salakhutdinov, Tong Zhang: Learning nonlinear dynamic models. ICML 2009: 75
64EEAlina Beygelzimer, John Langford: The offset tree for learning with partial labels. KDD 2009: 129-138
63EEDaniel Hsu, Sham M. Kakade, John Langford, Tong Zhang: Multi-Label Prediction via Compressed Sensing CoRR abs/0902.1284: (2009)
62EEKilian Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex J. Smola: Feature Hashing for Large Scale Multitask Learning CoRR abs/0902.2206: (2009)
61EEAlina Beygelzimer, John Langford, Pradeep Ravikumar: Error-Correcting Tournaments CoRR abs/0902.3176: (2009)
60EEAlina Beygelzimer, John Langford, Yuri Lifshits, Gregory B. Sorkin, Alexander L. Strehl: Conditional Probability Tree Estimation Analysis and Algorithms CoRR abs/0903.4217: (2009)
59EEJohn Langford, Ruslan Salakhutdinov, Tong Zhang: Learning Nonlinear Dynamic Models CoRR abs/0905.3369: (2009)
58EEHal Daumé III, John Langford, Daniel Marcu: Search-based Structured Prediction CoRR abs/0907.0786: (2009)
57EENicholas J. Hopper, Luis von Ahn, John Langford: Provably Secure Steganography. IEEE Trans. Computers 58(5): 662-676 (2009)
56EEMaria-Florina Balcan, Alina Beygelzimer, John Langford: Agnostic active learning. J. Comput. Syst. Sci. 75(1): 78-89 (2009)
2008
55EENicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock: Self-financed wagering mechanisms for forecasting. ACM Conference on Electronic Commerce 2008: 170-179
54EEJohn Langford, Alexander L. Strehl, Jennifer Wortman: Exploration scavenging. ICML 2008: 528-535
53EESharad Goel, John Langford, Alexander L. Strehl: Predictive Indexing for Fast Search. NIPS 2008: 505-512
52EEJohn Langford, Lihong Li, Tong Zhang: Sparse Online Learning via Truncated Gradient. NIPS 2008: 905-912
51EEJohn Langford, Lihong Li, Tong Zhang: Sparse Online Learning via Truncated Gradient CoRR abs/0806.4686: (2008)
50EEAlina Beygelzimer, John Langford: The Offset Tree for Learning with Partial Labels CoRR abs/0812.4044: (2008)
49EEAlina Beygelzimer, Sanjoy Dasgupta, John Langford: Importance Weighted Active Learning CoRR abs/0812.4952: (2008)
48EEMaria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin: Robust reductions from ranking to classification. Machine Learning 72(1-2): 139-153 (2008)
2007
47EEMaria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin: Robust Reductions from Ranking to Classification. COLT 2007: 604-619
46EEJohn Langford, Tong Zhang: The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information. NIPS 2007
45EEJennifer Wortman, Yevgeniy Vorobeychik, Lihong Li, John Langford: Maintaining Equilibria During Exploration in Sponsored Search Auctions. WINE 2007: 119-130
44EEPeter Grünwald, John Langford: Suboptimal behavior of Bayes and MDL in classification under misspecification. Machine Learning 66(2-3): 119-149 (2007)
2006
43EEJacob Abernethy, John Langford, Manfred K. Warmuth: Continuous Experts and the Binning Algorithm. COLT 2006: 544-558
42EEMaria-Florina Balcan, Alina Beygelzimer, John Langford: Agnostic active learning. ICML 2006: 65-72
41EEAlexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman: PAC model-free reinforcement learning. ICML 2006: 881-888
40EEAlina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor. ICML 2006: 97-104
39EENaoki Abe, Bianca Zadrozny, John Langford: Outlier detection by active learning. KDD 2006: 504-509
38EEJohn Langford, Roberto Oliveira, Bianca Zadrozny: Predicting Conditional Quantiles via Reduction to Classification. UAI 2006
37EEJohn Langford, Jeffrey Roy: E-government and public-private partnerships in Canada: when failure is no longer an option. IJEB 4(2): 118-135 (2006)
2005
36 Alina Beygelzimer, John Langford, Bianca Zadrozny: Weighted One-Against-All. AAAI 2005: 720-725
35EEJohn Langford, Alina Beygelzimer: Sensitive Error Correcting Output Codes. COLT 2005: 158-172
34EEJohn Langford: The Cross Validation Problem. COLT 2005: 687-688
33EEMatti Kääriäinen, John Langford: A comparison of tight generalization error bounds. ICML 2005: 409-416
32EEJohn Langford, Bianca Zadrozny: Relating reinforcement learning performance to classification performance. ICML 2005: 473-480
31EEAlina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny: Error limiting reductions between classification tasks. ICML 2005: 49-56
30EELuis von Ahn, Nicholas J. Hopper, John Langford: Covert two-party computation. STOC 2005: 513-522
29EEJohn Langford: Tutorial on Practical Prediction Theory for Classification. Journal of Machine Learning Research 6: 273-306 (2005)
2004
28EEPeter Grünwald, John Langford: Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification. COLT 2004: 331-347
27EENaoki Abe, Bianca Zadrozny, John Langford: An iterative method for multi-class cost-sensitive learning. KDD 2004: 3-11
26EEArindam Banerjee, John Langford: An objective evaluation criterion for clustering. KDD 2004: 515-520
25EEPeter Grünwald, John Langford: Suboptimal behaviour of Bayes and MDL in classification under misspecification CoRR math.ST/0406221: (2004)
24EELuis von Ahn, Manuel Blum, John Langford: Telling humans and computers apart automatically. Commun. ACM 47(2): 56-60 (2004)
23EEAlina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford: Reductions Between Classification Tasks Electronic Colloquium on Computational Complexity (ECCC)(077): (2004)
22EEJohn Langford, David A. McAllester: Computable Shell Decomposition Bounds. Journal of Machine Learning Research 5: 529-547 (2004)
2003
21EESham Kakade, Michael J. Kearns, John Langford, Luis E. Ortiz: Correlated equilibria in graphical games. ACM Conference on Electronic Commerce 2003: 42-47
20EEAvrim Blum, John Langford: PAC-MDL Bounds. COLT 2003: 344-357
19EELuis von Ahn, Manuel Blum, Nicholas J. Hopper, John Langford: CAPTCHA: Using Hard AI Problems for Security. EUROCRYPT 2003: 294-311
18EEBianca Zadrozny, John Langford, Naoki Abe: Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM 2003: 435-
17 Sham Kakade, Michael J. Kearns, John Langford: Exploration in Metric State Spaces. ICML 2003: 306-312
16EEJohn Langford, Avrim Blum: Microchoice Bounds and Self Bounding Learning Algorithms. Machine Learning 51(2): 165-179 (2003)
2002
15EENicholas J. Hopper, John Langford, Luis von Ahn: Provably Secure Steganography. CRYPTO 2002: 77-92
14 Sham Kakade, John Langford: Approximately Optimal Approximate Reinforcement Learning. ICML 2002: 267-274
13 John Langford: Combining Trainig Set and Test Set Bounds. ICML 2002: 331-338
12 John Langford, Martin Zinkevich, Sham Kakade: Competitive Analysis of the Explore/Exploit Tradeoff. ICML 2002: 339-346
11EEJohn Langford, John Shawe-Taylor: PAC-Bayes & Margins. NIPS 2002: 423-430
2001
10 John Langford, Matthias Seeger, Nimrod Megiddo: An Improved Predictive Accuracy Bound for Averaging Classifiers. ICML 2001: 290-297
9EEJohn Langford, Rich Caruana: (Not) Bounding the True Error. NIPS 2001: 809-816
8EESebastian Thrun, John Langford, Vandi Verma: Risk Sensitive Particle Filters. NIPS 2001: 961-968
2000
7 John Langford, David A. McAllester: Computable Shell Decomposition Bounds. COLT 2000: 25-34
6 Joseph O'Sullivan, John Langford, Rich Caruana, Avrim Blum: FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. ICML 2000: 703-710
1999
5EEAvrim Blum, Adam Kalai, John Langford: Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation. COLT 1999: 203-208
4EEJohn Langford, Avrim Blum: Microchoice Bounds and Self Bounding Learning Algorithms. COLT 1999: 209-214
3 Avrim Blum, John Langford: Probabilistic Planning in the Graphplan Framework. ECP 1999: 319-332
2 Sebastian Thrun, John Langford, Dieter Fox: Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes. ICML 1999: 415-424
1998
1EEAvrim Blum, Carl Burch, John Langford: On Learning Monotone Boolean Functions. FOCS 1998: 408-415

Coauthor Index

1Naoki Abe [18] [27] [39]
2Jacob Abernethy [43]
3Luis von Ahn [15] [19] [24] [30] [57]
4Josh Attenberg [62] [69]
5Maria-Florina Balcan (Maria-Florina Popa) [42] [47] [48] [56]
6Arindam Banerjee [26]
7Nikhil Bansal [47] [48]
8Alina Beygelzimer [23] [31] [35] [36] [40] [42] [47] [48] [49] [50] [56] [60] [61] [64] [66] [68] [70]
9Avrim Blum [1] [3] [4] [5] [6] [16] [20]
10Manuel Blum [19] [24]
11Carl Burch [1]
12Rich Caruana [6] [9]
13Yiling Chen [55]
14Don Coppersmith [47] [48]
15Varsha Dani [23] [31]
16Anirban Dasgupta [62] [69]
17Sanjoy Dasgupta [49] [66] [67]
18Hal Daumé III [58]
19Dieter Fox [2]
20Sharad Goel [53]
21Peter Grünwald (Peter D. Grünwald, Peter Grunwald) [25] [28] [44]
22Thomas P. Hayes [23] [31]
23Nicholas J. Hopper [15] [19] [30] [57]
24Daniel Hsu [63]
25Matti Kääriäinen [33]
26Sham M. Kakade (Sham Kakade) [12] [14] [17] [21] [40] [63]
27Adam Tauman Kalai (Adam Kalai) [5]
28Michael J. Kearns [17] [21]
29Nicolas S. Lambert [55]
30Lihong Li [41] [45] [51] [52]
31Yuri Lifshits [60]
32Michael L. Littman [41]
33Daniel Marcu [58]
34David A. McAllester [7] [22]
35Nimrod Megiddo [10]
36Joseph O'Sullivan [6]
37Roberto Oliveira [38]
38Luis E. Ortiz [21]
39David M. Pennock (David Pennock) [55]
40Pradeep Ravikumar [61] [70]
41Daniel M. Reeves [55]
42Jeffrey Roy [37]
43Ruslan Salakhutdinov [59] [65]
44Matthias Seeger [10]
45John Shawe-Taylor [11]
46Yoav Shoham [55]
47Alexander J. Smola (Alex J. Smola) [62] [69]
48Gregory B. Sorkin [47] [48] [60]
49Alexander L. Strehl [41] [53] [54] [60]
50Sebastian Thrun [2] [8]
51Vandi Verma [8]
52Yevgeniy Vorobeychik [45]
53Manfred K. Warmuth [43]
54Kilian Weinberger [62] [69]
55Eric Wiewiora [41]
56Jennifer Wortman [45] [54] [55]
57Bianca Zadrozny [18] [27] [31] [32] [36] [38] [39] [68]
58Tong Zhang [46] [51] [52] [59] [63] [65]
59Martin Zinkevich [12]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)