Tag learning_theory [59 articles] Export

Recent papers classified by the tag learning_theory.

	Approximation of the Two-Part MDL Code [My Copy] (15 Sep 2008) by Pieter Adriaans, Paul Vitanyi posted to mdl machine_learning learning_theory kolmogorov_complexity information_theory error_bounds by markstoehr on 2009-08-31 23:09:23 as
	The Power and Perils of MDL [My Copy] Information Theory, 2007. ISIT 2007. IEEE International Symposium on In Information Theory, 2007. ISIT 2007. IEEE International Symposium on (2007), pp. 2216-2220. by Pieter Adriaans, Paul Vitanyi posted to sufficient_statistics statistics mdl learning_theory formal_languages error_bounds dfa by markstoehr on 2009-08-31 23:08:08 as
	Using MDL for Grammar Induction [My Copy] Grammatical Inference: Algorithms and Applications (2006), pp. 293-306. by Pieter Adriaans, Ceriel Jacobs posted to structure_learning mdl machine_learning learning_theory kolmogorov_complexity grammars formal_languages dfa by markstoehr on 2009-08-31 23:06:38 as
	Between Order and Chaos: The Quest for Meaningful Information [My Copy] Theory of Computing Systems, Vol. 45, No. 4. (1 November 2009), pp. 650-674. by Pieter Adriaans posted to thermodynamics mdl machine_learning learning_theory information_theory by markstoehr on 2009-08-31 22:42:39 as
	Robustness and Regularization of Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1485-1510. by Huan Xu, Constantine Caramanis, Shie Mannor posted to learning_theory regularization robustness by shivak on 2009-08-11 03:29:22 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Scale-sensitive dimensions, uniform convergence, and learnability [My Copy] J. ACM, Vol. 44, No. 4. (July 1997), pp. 615-631. by Noga Alon, Shai B. David, Nicolò C. Bianchi, David Haussler posted to capacity_control learning_theory by shivak on 2009-07-10 22:01:33 as along with 1 person sdvillal
	Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss [My Copy] Journal of Machine Learning Research, Vol. 7 (November 2006), pp. 2435-2447. by Di-Rong Chen, Tao Sun posted to convexity learning_theory surrogate_loss by shivak on 2009-07-02 02:23:47 as
	Generalization error for multi-class margin classification [My Copy] (27 Aug 2007) by Xiaotong Shen, Lifeng Wang posted to convexity learning_theory margins surrogate_loss by shivak on 2009-07-02 02:23:19 as
	Convexity, Classification, and Risk Bounds [My Copy] Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 138-156. by Peter L. Bartlett, Michael I. Jordan, Jon D. Mcauliffe posted to convexity learning_theory surrogate_loss by shivak on 2009-07-02 02:22:35 as along with 3 people and 1 group mmorzy sdvillal mdreid Statistical Machine Learning
	Kernel methods in machine learning [My Copy] (1 Jul 2008) by Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola posted to kernel_methods learning_theory machine_learning surveys by shivak on 2009-07-02 02:20:43 as along with 1 person sugarexpletive
	Learning with Spectral Kernels and Heavy-Tailed Data [My Copy] (24 Jun 2009) by Michael W. Mahoney, Hariharan Narayanan posted to empirical_risk_minimization heavy_tails learning_theory spectral_theory by shivak on 2009-07-02 02:17:06 as
	On the Consistency of Multiclass Classification Methods [My Copy] Journal of Machine Learning Research, Vol. 8 (May 2007), pp. 1007-1025. by Ambuj Tewari, Peter L. Bartlett posted to classification learning_theory surrogate_loss by shivak on 2009-07-02 02:16:07 as along with 2 people and 1 group mdreid sdvillal Statistical Machine Learning
	Covariate Shift Adaptation by Importance Weighted Cross Validation [My Copy] Journal of Machine Learning Research, Vol. 8 (May 2007), pp. 985-1005. by Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller posted to covariate_shift importance_weighting learning_theory by shivak on 2009-07-02 01:21:29 as along with 1 person sona
	Curse of Dimensionality in Pivot-based Indexes [My Copy] (18 Jun 2009) by Ilya Volnyansky, Vladimir Pestov posted to concentration_of_measure databases learning_theory by shivak on 2009-07-02 01:18:16 as
	Information, Divergence and Risk for Binary Experiments [My Copy] (5 Jan 2009) by Mark D. Reid, Robert C. Williamson posted to hypothesis_testing information_theory learning_theory machine_learning surrogate_loss surveys by shivak on 2009-07-02 00:57:27 as along with 3 people and 1 group sbarthelme mmorzy mdreid Statistical Machine Learning
	Importance Weighted Active Learning [My Copy] (20 May 2009) by Alina Beygelzimer, Sanjoy Dasgupta, John Langford posted to active_learning learning_theory by shivak on 2009-07-02 00:18:26 as along with 1 person Mohan-S
	Consistency and Localizability [My Copy] Journal of Machine Learning Research, Vol. 10 (April 2009), pp. 827-856. by Alon Zakai, Ya'acov Ritov posted to learning_theory localization by shivak on 2009-07-02 00:10:11 as along with 2 people and 1 group mdreid sdvillal Statistical Machine Learning
	On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality [My Copy] Journal of Machine Learning Research, Vol. 10 (April 2009), pp. 977-996. by Wenxin Jiang posted to concentration_of_measure dependent_data learning_theory regression by shivak on 2009-07-02 00:03:35 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Learning convex bodies is hard [My Copy] (7 Apr 2009) by Navin Goyal, Luis Rademacher posted to convexity geometry learning_theory by shivak on 2009-07-01 23:45:52 as along with 1 person ansobol
	Feature Hashing for Large Scale Multitask Learning [My Copy] (21 May 2009) by Kilian Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex Smola posted to concentration_of_measure dimensionality_reduction hashing learning_theory machine_learning sparsity by shivak on 2009-07-01 19:41:54 as
	A Polynomial Number of Random Points does not Determine the Volume of a Convex Body [My Copy] (15 Mar 2009) by Ronen Eldan posted to convexity geometry learning_theory sampling by shivak on 2009-07-01 19:36:50 as
	Matrix Completion With Noise [My Copy] (18 Mar 2009) by Emmanuel J. Candes, Yaniv Plan posted to compressed_sensing convexity learning_theory matrix_completion optimization by shivak on 2009-07-01 19:35:24 as along with 1 person sflammia
	Data-driven Calibration of Penalties for Least-Squares Regression [My Copy] Journal of Machine Learning Research, Vol. 10 (February 2009), pp. 245-279. by Sylvain Arlot, Pascal Massart posted to data_dependent_methods learning_theory model_selection regularization statistics by shivak on 2009-07-01 19:24:29 as
	2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization [My Copy] (1 Aug 2007) by Vladimir Koltchinskii posted to capacity_control data_dependent_methods empirical_processes learning_theory model_selection by shivak on 2009-07-01 18:20:01 as
	Learning and Generalization: With Applications to Neural Networks [My Copy] (11 November 2002) by Mathukumalli Vidyasagar posted to dynamical_systems empirical_processes learning_theory viabactra by shivak on 2009-07-01 18:15:56 as
	Toward a unified model of attention in associative learning [My Copy] Journal of Mathematical Psychology, Vol. 45 (2001), pp. 812-863. by John K. Kruschke posted to alcove associative_learning attention attention_shifts blocking categorization comps connectionism cue_weighting dimensional_weighting exemplar_theory learning learning_theory models rashnl by kapfelba on 2009-06-25 21:25:04 as
	Attentional control of associative learning--a possible role of the central cholinergic system. [My Copy] Brain research In Computational Cognitive Neuroscience, Vol. 1202 (2 April 2008), pp. 43-53. by W. M. Pauli, R. C. O'Reilly posted to associative_learning attention brain_organization competition comps conditioning connectionism generec inhibition leabra learning_theory models wta by kapfelba on 2009-05-19 17:19:07 as along with 2 people PaperCollector susannah
	Trying to understand the cerebellum well enough to build one. [My Copy] Annals of the New York Academy of Sciences, Vol. 978 (December 2002), pp. 425-438. by T. Ohyama, J. F. Medina, W. L. Nores, M. D. Mauk posted to cerebellum eyeblink_conditioning learning learning_theory models neuroscience by kapfelba on 2009-03-26 16:26:15 as
	Mechanisms of cerebellar learning suggested by eyelid conditioning. [My Copy] Current opinion in neurobiology, Vol. 10, No. 6. (December 2000), pp. 717-724. by J. F. Medina, W. L. Nores, T. Ohyama, M. D. Mauk posted to brain_organization cerebellum conditioning eyeblink_conditioning learning learning_theory motor_control neuroscience td_learning temporal_information by kapfelba on 2009-03-25 16:01:00 as
	Limiting Recursion [My Copy] The Journal of Symbolic Logic, Vol. 30, No. 1. (1965), pp. 28-48. by Mark E. Gold posted to learning_theory by hubris on 2009-03-18 02:16:02 as along with 1 person yoriyuki
	Inductive Inference: Theory and Methods [My Copy] ACM Comput. Surv., Vol. 15, No. 3. (September 1983), pp. 237-269. by Dana Angluin, Carl H. Smith posted to learning_theory by hubris on 2009-03-18 02:10:36 as along with 1 person and 1 group assnoodles NU-PRL
	Language identification in the limit [My Copy] Information and Control, Vol. 10, No. 5. (1967), pp. 447-474. by Mark E. Gold posted to learning_theory by hubris on 2009-03-18 02:01:33 as along with 6 people tkf lawraga Passerby junwang4 soramame_0518 kalmar
	What's elementary about associative learning? [My Copy] Annual review of psychology, Vol. 48 (1997), pp. 573-607. by E. A. Wasserman, R. R. Miller posted to associative_learning conditioning hebbian learning learning_theory review by kapfelba on 2009-03-02 22:18:19 as
	Mathematical theory of concept identification. [My Copy] Psychological review, Vol. 66 (September 1959), pp. 278-296. by L. E. BOURNE, F. RESTLE posted to behaviorism categorization conditioning cue_integration discrimination learning learning_theory math_models by kapfelba on 2009-03-02 20:42:01 as
	A model for stimulus generalization and discrimination. [My Copy] Psychological review, Vol. 58, No. 6. (November 1951), pp. 413-423. by R. R. BUSH, F. MOSTELLER posted to behaviorism discrimination generalization learning learning_theory math_models similarity by kapfelba on 2009-03-02 17:35:21 as
	A theory of online learning as online participation [My Copy] Computers & Education, Vol. 52, No. 1. (January 2009), pp. 78-82. by S. Hrastinski posted to 2009 learning_theory by Torsten_Holmer on 2008-12-10 15:06:27 as along with 1 person LauriSaarinen
	Experience-efficient learning in associative bandit problems [My Copy] In ICML '06: Proceedings of the 23rd International Conference on Machine Learning (2006), pp. 889-896. by Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh posted to associative_bandits bandit_problem learning_theory by bsilverthorn on 2008-10-01 17:11:09 as
	Knows what it knows: a framework for self-aware learning [My Copy] In ICML '08: Proceedings of the 25th International Conference on Machine Learning (2008), pp. 568-575. by Lihong Li, Michael L. Littman, Thomas J. Walsh posted to learning_theory reinforcement_learning self_aware by bsilverthorn on 2008-10-01 16:43:51 as along with 2 people Mohan-S ikarpov
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (19 November 1999) by Vladimir N. Vapnik posted to learning_theory by ecome on 2008-04-24 15:56:56 as along with 18 people pjcite lbustio bayesian gstiglic brian thefillm yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid jung_dalglish jaonary akastrin
	The Weighted Majority Algorithm [My Copy] 30th Annual Symposium on Foundations of Computer Science In 30th Annual Symposium on Foundations of Computer Science (1989), pp. 256-261. by Nick Littlestone, Manfred K. Warmuth posted to best_expert learning_theory online_learning by bsilverthorn on 2008-03-09 23:04:35 as along with 2 people akavipat davidr
	Pure Exploration for Multi-Armed Bandit Problems [My Copy] (19 Feb 2008) by Sebastien Bubeck, Remi Munos, Gilles Stoltz posted to bandits learning_theory online reinforcement_learning by jsr on 2008-03-08 11:56:37 as
	Metric entropy in competitive on-line prediction [My Copy] (9 Sep 2006) by Vladimir Vovk posted to learning learning_theory metric_entropy statistical_learning by jsr on 2008-03-08 11:42:11 as along with 1 person davidr
	A theory of the learnable [My Copy] Communications of the ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142. by Leslie G. Valiant posted to learning_theory seminal by bsilverthorn on 2007-12-10 22:28:29 as along with 6 people misovalko mthomure sdvillal AbnerCYH dwf mangesh
	Cryptography and Machine Learning [My Copy] In ASIACRYPT '91: Proceedings of the International Conference on the Theory and Applications of Cryptology (1993), pp. 427-439. by Ronald L. Rivest posted to cryptography learning_theory machine_learning by bsilverthorn on 2007-12-10 21:47:55 as
	The Computational Complexity of Machine Learning [My Copy] (1990) by Michael J. Kearns posted to computational_complexity learning_theory machine_learning seminal by bsilverthorn on 2007-12-10 21:05:53 as
	An introduction to computational learning theory [My Copy] (1994) by Michael J. Kearns, Umesh V. Vazirani posted to classic learning_theory by bsilverthorn on 2007-11-21 22:31:51 as along with 1 person misovalko
	Queries revisited [My Copy] Theor. Comput. Sci. In Algorithmic Learning Theory, Vol. 313, No. 2. (17 February 2004), pp. 175-194. by Dana Angluin posted to learning_theory membership_queries surveys by bsilverthorn on 2007-11-20 22:06:05 as along with 1 person idlebrain
	Toward Efficient Agnostic Learning [My Copy] In Computational Learing Theory (1992), pp. 341-352. by Michael J. Kearns, Robert E. Schapire, Linda Sellie posted to agnostic_learning learning_theory seminal by bsilverthorn on 2007-11-17 23:50:17 as along with 1 person robotact
	Scale-sensitive dimensions, uniform convergence, and learnability [My Copy] Journal of the ACM, Vol. 44, No. 4. (1997), pp. 615-631. by Noga Alon, Shai B. David, Nicolò C. Bianchi, David Haussler posted to learning_theory math by hcs on 2007-05-08 23:09:51 as
	More theorems about scale-sensitive dimensions and learning [My Copy] In COLT '95: Proceedings of the eighth annual conference on Computational learning theory (1995), pp. 392-401. by Peter L. Bartlett, Philip M. Long posted to learning_theory math by hcs on 2007-05-08 23:08:57 as

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machine_learning	12
learning	8
convexity	6
surrogate_loss	5
conditioning	4
information_theory	4
mdl	4
associative_learning	3
concentration_of_measure	3
math	3
models	3
semi_supervised_learning	3
seminal	3
surveys	3
attention	2
behaviorism	2
brain_organization	2
capacity_control	2
categorization	2
cerebellum	2
comps	2
connectionism	2
data_dependent_methods	2
dfa	2
discrimination	2
empirical_processes	2
error_bounds	2
eyeblink_conditioning	2
formal_languages	2
geometry	2
kolmogorov_complexity	2
math_models	2
model_selection	2
neuroscience	2
regularization	2
reinforcement_learning	2
statistics	2
2009	1
active_learning	1
agnostic_learning	1
alcove	1
associative_bandits	1
attention_shifts	1
bandits	1
best_expert	1
blocking	1
cam-paper	1
classic	1
classification	1
competition	1
compressed_sensing	1
computational_complexity	1
covariate_shift	1
cryptography	1
cue_integration	1
cue_weighting	1
databases	1
dependent_data	1
dimensional_weighting	1
dimensionality_reduction	1
dynamical_systems	1
empirical_risk_minimization	1
exemplar_theory	1
game_theory	1
generalization	1
generec	1
grammars	1
graph_theory	1
hashing	1
heavy_tails	1
higher_education	1
hypothesis_testing	1
importance_weighting	1
inhibition	1
kernel_methods	1
kernels	1
leabra	1
localization	1
margins	1
matrix_completion	1
membership_queries	1
metric_entropy	1
motor_control	1
online	1
online_learning	1
optimization	1
rashnl	1
regression	1
review	1
robustness	1
sampling	1
self_aware	1
similarity	1
sparsity	1
spectral_graph_theory	1
spectral_theory	1
statistical_learning	1
structure_learning	1
sufficient_statistics	1
td_learning	1

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