mdreid's theory [79 articles] Export

Recent papers added to mdreid's library classified by the tag theory. You can also see everyone's theory.

	Approximate generalized Hessians and Taylor’s expansions for continuously Gâteaux differentiable functions1 [My Copy] Nonlinear Analysis, Vol. 36, No. 3. (01 May 1999), pp. 353-368. by V. Jeyakumar, X. Yang posted to theory taylor hessian differentiability convexity by mdreid on 2009-11-02 00:08:06 as
	The geometry of proper scoring rules [My Copy] Annals of the Institute of Statistical Mathematics, Vol. 59, No. 1. (17 March 2007), pp. 77-93. by A. Dawid posted to theory scoring_rules information_geometry geometry convexity by mdreid on 2009-10-22 00:24:13 as along with 1 group Statistical Machine Learning
	Combining PAC-Bayesian and Generic Chaining Bounds [My Copy] Journal of Machine Learning Research, Vol. 8 (April 2007), pp. 863-889. by Jean-Yves Audibert, Olivier Bousquet posted to theory radamacher pac-bayes chaining bounds by mdreid on 2009-09-29 02:00:35 as along with 1 group Statistical Machine Learning
	Coherence functions for multicategory margin-based classification methods. [My Copy] In Proceedings of the Twelfth Conference on Artificial Intelligence and Statistics (AISTATS) (2009) by Z. Zhang, M. I. Jordan, W. J. Li, D. Y. Yeung posted to theory surrogate multiclass margin convexity consistency boosting by mdreid on 2009-09-17 09:17:15 as along with 1 group Statistical Machine Learning
	Coordination Capacity [My Copy] (13 Sep 2009) by Paul Cuff, Haim Permuter, Thomas Cover posted to theory networks information distributions by mdreid on 2009-09-15 06:41:42 as along with 1 group Statistical Machine Learning
	Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes [My Copy] (10 Sep 2009) by Liva Ralaivola, Marie Szafranski, Guillaume Stempfel posted to theory ranking pac-bayes bounds by mdreid on 2009-09-14 00:49:33 as along with 1 group Statistical Machine Learning
	Ranking and Empirical Minimization of U -statistics [My Copy] The Annals of Statistics, Vol. 36, No. 2. (April 2008), pp. 844-874. by Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis posted to theory ranking radamacher erm convexity by mdreid on 2009-08-17 04:56:57 as along with 1 group Statistical Machine Learning
	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 theory svm stability robustness regularisation by mdreid on 2009-08-12 08:13:19 as along with 1 person and 1 group shivak Statistical Machine Learning
	Streamed Learning: One-Pass SVMs [My Copy] (5 Aug 2009) by Piyush Rai, Hal Daumé, Suresh Venkatasubramanian posted to online stream svm theory by mdreid on 2009-08-07 05:57:25 as along with 1 person and 1 group longtop Statistical Machine Learning
	Aggregation via empirical risk minimization [My Copy] Probability Theory and Related Fields, Vol. 145, No. 3. (1 November 2009), pp. 591-613. by Guillaume Lecué, Shahar Mendelson posted to convexity ensemble erm theory by mdreid on 2009-08-05 10:30:50 as along with 1 person and 1 group arsyed Statistical Machine Learning
	Information-theoretic upper and lower bounds for statistical estimation [My Copy] Information Theory, IEEE Transactions on In Information Theory, IEEE Transactions on, Vol. 52, No. 4. (2006), pp. 1307-1321. by Tong Zhang posted to bounds information risk theory by mdreid on 2009-08-03 05:02:56 as along with 1 group Statistical Machine Learning
	Neighborliness of randomly projected simplices in high dimensions [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 102, No. 27. (5 July 2005), pp. 9452-9457. by David L. Donoho, Jared Tanner posted to high-dimensional probability random_projection simplex theory by mdreid on 2009-07-28 06:22:21 as along with 1 group Statistical Machine Learning
	On Bayesian bounds [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 81-88. by Arindam Banerjee posted to compression pac-bayes theory by mdreid on 2009-07-24 05:41:57 as along with 1 group Statistical Machine Learning
	Prediction, Learning, and Games [My Copy] (2006) by Nicolo C. Bianchi, Gabor Lugosi posted to online theory by mdreid on 2009-07-17 06:27:34 as
	Adaptive Online Gradient Descent [My Copy] In NIPS (2007) by Peter L. Bartlett, Elad Hazan, Alexander Rakhlin edited by John C. Platt, Daphne Koller, Yoram Singer, et al.Sam T. Roweis, John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis posted to bregman divergence online theory by mdreid on 2009-07-17 04:12:32 as along with 1 group Statistical Machine Learning
	Topology and Data [My Copy] Bulletin of the American Mathematical Society, Vol. 46 (29 January 2009), pp. 255-308. by Gunnar Carlsson posted to clustering data theory topology by mdreid on 2009-07-16 02:51:04 as along with 1 person and 1 group shivak Statistical Machine Learning
	A Duality View of Boosting Algorithms [My Copy] (14 Jul 2009) by Chunhua Shen, Hanxi Li posted to boosting duality margin theory by mdreid on 2009-07-15 23:09:52 as along with 2 people and 1 group shivak leemond31 Statistical Machine Learning
	Conjugate dual problems in constrained set-valued optimization and applications [My Copy] European Journal of Operational Research, Vol. 196, No. 1. (01 July 2009), pp. 21-32. by S. Li, C. Chen, S. Wu posted to duality fenchel_duality optimisation theory variational by mdreid on 2009-07-14 01:49:54 as
	Stochastic Convex Optimization [My Copy] In Proceedings of the Conference on Learning Theory (COLT) (2009) by Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan posted to consistency regularisation theory online by mdreid on 2009-07-08 03:55:08 as along with 1 person and 1 group Vezhnick Statistical Machine Learning
	Coherent frequentism [My Copy] (28 Oct 2009) by David R. Bickel posted to confidence frequentist neyman-pearson probability theory by mdreid on 2009-07-06 09:16:36 as along with 4 people ygegipu ansobol dah shivak
	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 calibration classification consistency multiclass theory by mdreid on 2009-06-24 11:12:19 as along with 2 people and 1 group shivak sdvillal Statistical Machine Learning
	Nonparametric estimation of composite functions [My Copy] (4 Jun 2009) by Anatoli B. Juditsky, Oleg V. Lepski, Alexandre B. Tsybakov posted to composition nonparametric rates theory by mdreid on 2009-06-06 02:57:09 as along with 1 group Statistical Machine Learning
	Sparse recovery in convex hulls via entropy penalization [My Copy] (13 May 2009) by Vladimir Koltchinskii posted to bounds convexity information sparse theory by mdreid on 2009-06-05 04:53:37 as along with 1 group Statistical Machine Learning
	Testing symmetric properties of distributions [My Copy] In STOC '08: Proceedings of the 40th annual ACM symposium on Theory of computing (2008), pp. 383-392. by Paul Valiant posted to distributions property_testing symmetry theory by mdreid on 2009-06-03 07:58:22 as
	On the efficient minimization of convex surrogates in supervised learning [My Copy] Pattern Recognition, 2008. ICPR 2008. 19th International Conference on In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on (2008), pp. 1-4. by R. Nock, F. Nielseny posted to boosting bounds scoring_rules surrogate_loss theory by mdreid on 2009-05-17 01:42:38 as along with 1 group Statistical Machine Learning
	Random classification noise defeats all convex potential boosters [My Copy] In ICML, Vol. 307 (2008), pp. 608-615. by Philip M. Long, Rocco A. Servedio edited by William W. Cohen, Andrew Mccallum, Sam T. Roweis, William W. Cohen, Andrew Mccallum, Sam T. Roweis posted to boosting robustness theory by mdreid on 2009-05-15 08:22:26 as along with 1 group Statistical Machine Learning
	Introduction to Machine Learning: Class Notes 67577 [My Copy] (23 Apr 2009) by Amnon Shashua posted to bayesian lecture_notes max-ent theory by mdreid on 2009-05-08 02:35:59 as along with 8 people and 1 group mthomure dpf christiand belion ansobol Thermaneutist pdlug ima Statistical Machine Learning
	Generalization bounds and consistency for structured labeling [My Copy] In Predicting Structured Data by D. Mcallester posted to bounds consistency structure theory by mdreid on 2009-05-05 13:09:17 as along with 1 group 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 bounds erm loss theory by mdreid on 2009-05-04 01:14:20 as along with 1 person and 1 group shivak Statistical Machine Learning
	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 consistency svm theory by mdreid on 2009-05-03 23:33:52 as along with 2 people and 1 group shivak sdvillal Statistical Machine Learning
	A Few Notes on Statistical Learning Theory [My Copy] In Advanced Lectures on Machine Learning, Vol. 2600 (2003), pp. 1-40. by Shahar Mendelson edited by Shahar Mendelson, Alexander J. Smola posted to bounds survey theory by mdreid on 2009-04-23 05:29:34 as along with 1 group Statistical Machine Learning
	Introduction to Statistical Learning Theory [My Copy] In Advanced Lectures on Machine Learning, Vol. 3176 (2004), pp. 169-207. by Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi posted to bounds survey theory by mdreid on 2009-04-11 03:16:59 as along with 1 group Statistical Machine Learning
	An Improved Predictive Accuracy Bound for Averaging Classifiers [My Copy] In ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning (2001), pp. 290-297. by John Langford, Matthias Seeger, Nimrod Megiddo posted to bounds classification margin pac-bayes theory by mdreid on 2009-04-08 12:32:59 as along with 1 group Statistical Machine Learning
	Defensive forecasting [My Copy] (30 May 2005) by Vladimir Vovk, Akimichi Takemura, Glenn Shafer posted to estimation game_theory probability scoring_rules theory by mdreid on 2009-03-30 02:12:24 as along with 1 group Statistical Machine Learning
	Probability theory for the Brier game [My Copy] Algorithmic Learning Theory (1997), pp. 323-338. by V. Vovk posted to game_theory probability scoring_rules theory by mdreid on 2009-03-30 01:41:45 as
	Theory of classification : A survey of some recent advances [My Copy] ESAIM: Probability and Statistics, Vol. 9 (2005), pp. 323-375. by Stéphane Boucheron, Olivier Bousquet, Gabor Lugosi posted to bounds complexity survey theory by mdreid on 2009-03-26 05:48:08 as along with 3 people and 1 group idlebrain arsyed jorgeac Statistical Machine Learning
	AdaBoost is Consistent [My Copy] Journal of Machine Learning Research, Vol. 8 (October 2007), pp. 2347-2368. by Peter L. Bartlett, Mikhail Traskin posted to boosting consistency theory by mdreid on 2009-03-26 05:07:22 as along with 1 person and 1 group mzabidi Statistical Machine Learning
	Learning from data of variable quality [My Copy] In In NIPS 18, Vol. 2006 (1995) by Koby Crammer, Michael Kearns, Jennifer Wortman posted to class_probability_estimation classification data noise theory by mdreid on 2009-03-26 01:23:42 as along with 1 group Statistical Machine Learning
	Optimal Sample-Based Estimates of the Expectation of the Empirical Minimizer [My Copy] ESAIM Probability and Statistics by P. L. Bartlett, S. Mendelson, P. Philips posted to bounds data_dependent erm theory by mdreid on 2009-03-25 10:40:42 as along with 1 group Statistical Machine Learning
	Prediction with Restricted Resources and Finite Automata [My Copy] (10 Dec 2008) by Finn Macleod, James Gleeson posted to automata graph prediction theory by mdreid on 2009-03-16 07:17:40 as along with 1 person imrchen
	Statistical Learning Theory: Models, Concepts, and Results [My Copy] (27 Oct 2008) by Ulrike von Luxburg, Bernhard Schoelkopf posted to inequality learning survey theory tutorial by mdreid on 2009-03-16 06:19:40 as along with 4 people and 1 group arsyed ansobol dah robotact Statistical Machine Learning
	Generalization Error Bounds for Bayesian Mixture Algorithms [My Copy] Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 839-860. by Ron Meir, Tong Zhang posted to bayesian convexity radamacher theory by mdreid on 2009-03-16 06:13:43 as along with 1 group Statistical Machine Learning
	A Generalization of the Shannon-McMillan-Breiman Theorem and the Kelly Criterion Leading to a Definition of Pragmatic Information [My Copy] (12 Mar 2009) by Edward D. Weinberger posted to information theory by mdreid on 2009-03-15 08:34:25 as along with 1 person ansobol
	Challenges in Statistical Machine Learning [My Copy] Statistica Sinica, Vol. 16 (2006), pp. 307-322. by John Lafferty, Larry Wasserman posted to dimensional_reduction prediction risk semisupervised structure survey theory by mdreid on 2009-03-12 08:07:12 as along with 1 group Statistical Machine Learning
	Information Theoretic Methods in Probability and Statistics [My Copy] by Csiszar I. Budapest posted to divergence information probability statistics theory by mdreid on 2009-02-24 08:50:29 as along with 1 group Statistical Machine Learning
	Maximal margin classification for metric spaces [My Copy] J. Comput. Syst. Sci., Vol. 71, No. 3. (October 2005), pp. 333-359. by Matthias Hein, Olivier Bousquet, Bernhard Schölkopf posted to classification embedding kernel metric theory by mdreid on 2009-02-18 00:26:43 as along with 1 person and 1 group teesid Statistical Machine Learning
	Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization [My Copy] Advances in Computational Mathematics, Vol. 25, No. 1-3. (July 2006), pp. 161-193. by Mukherjee, Sayan, Niyogi, et al. Partha, Poggio, Tomaso, Rifkin, Ryan posted to consistency erm learning stability theory by mdreid on 2009-02-10 22:18:46 as along with 1 person and 1 group NicolaSegata Statistical Machine Learning
	Relations among conditional probabilities [My Copy] (8 Aug 2008) by Jason Morton posted to algebraic discrete probability statistics theory by mdreid on 2009-01-17 02:50:30 as along with 2 people and 1 group algorithmic jleny Statistical Machine Learning
	Information, Divergence and Risk for Binary Experiments [My Copy] (5 Jan 2009) by Mark D. Reid, Robert C. Williamson posted to classification divergence estimation information mine probability theory by mdreid on 2009-01-06 07:33:17 as along with 3 people and 1 group shivak sbarthelme mmorzy Statistical Machine Learning
	A Group Theoretic Model for Information [My Copy] (5 Oct 2007) by Hua Li, Edwin K. P. Chong posted to group inequality information theory by mdreid on 2008-11-17 07:13:03 as along with 3 people ansobol jrw AbnerCYH

Note: You may cite this page as: http://www.citeulike.org/user/mdreid/tag/theory

Result page: 1 2 Next

theory	79
convexity	26
classification	21
probability	20
bounds	19
information	15
online	15
scoring_rules	14
f-divergence	13
bayesian	11
statistics	11
survey	11
divergence	10
auc	9
consistency	9
data	9
duality	9
kernel	9
ranking	9
boosting	8
bregman_divergence	8
roc	8
class_probability_estimation	7
clustering	7
dimensional_reduction	7
erm	7
estimation	7
fenchel_duality	7
inequality	7
surrogate_loss	7
svm	7
game_theory	6
information_geometry	6
learning	6
automata	5
density_estimation	5
distributions	5
margin	5
modelling	5
multiclass	5
neyman-pearson	5
philosophy	5
regression	5
bregman	4
decision_theory	4
economics	4
exponential_family	4
graph_theory	4
introns	4
loss	4
max-ent	4
pac-bayes	4
prediction_markets	4
protocol	4
radamacher	4
regularisation	4
robustness	4
sparse	4
statistical_information	4
algebraic_geometry	3
algorithm	3
application	3
bioinformatics	3
calibration	3
combinatorics	3
complexity	3
confidence	3
ensemble	3
evaluation	3
evolution	3
experimental	3
graph	3
induction	3
language	3
large_scale	3
matrix	3
measurement	3
mixture_models	3
networks	3
nonparametric	3
ockhams_razor	3
reduction	3
representation	3
software	3
stacking	3
structure	3
weighting	3
active_learning	2
category_theory	2
characterisation	2
collaborative_filtering	2
community	2
conformal_prediction	2
cost_sensitive	2
criticism	2
culture	2
data_dependent	2
discriminative	2
embedding	2
empiricism	2
generative	2
graphical_models	2
high-dimensional	2
historical	2
hypothesis_testing	2
integral_representation	2
lecture_notes	2
logistic	2
metric	2
optimisation	2
pac	2
pca	2
prediction	2
random_projection	2
rates	2
risk	2
semisupervised	2
sgd	2
simplex	2
social_science	2
spectral	2
spliceosome	2
stability	2
stream	2
trees	2
tutorial	2
web	2
algebraic	1
asymmetric	1
asymptotic_results	1
auction	1
average	1
axiomatic	1
bandit	1
business	1
chaining	1
cloud_computing	1
communication	1
compatibility	1
completion	1
composition	1
compression	1
computability	1
concentration	1
conditional_expectation	1
cpp	1
credibility	1
data_mining	1
design	1
differentiability	1
dirichlet_process	1
discrete	1
discretisation	1
distributed_sensing	1
dynamic_programming	1
efficiency	1
eigenvector	1
elicitation	1
energy-based-models	1
entropy	1
error	1
exchangeability	1
experts	1
extremal	1
fisher_information	1
frequentist	1
function_approximation	1
future	1
geometry	1
good-turing	1
gradient	1
group	1
hessian	1
history	1
hmm	1
image	1
imbalance	1
information_bottleneck	1
information_extraction	1
instance_weighting	1
interpretation	1
l1	1
maths	1
max-margin	1
medical	1
methodology	1
mine	1
minimax	1
mixture	1
mle	1
noise	1
pab	1
phylogenetics	1
physics	1
pinsker	1
politics	1
popular_science	1
power	1
preference_elicitation	1
prior_selection	1
projection	1
property_testing	1
psychology	1
p_values	1
quantisation	1
queries	1
recall	1
reinforcement	1
rest	1
rkhs	1
scd	1
science	1
segmentation	1
similarity	1
simplicity	1
sketching	1
sociology	1
srm	1
stochastic_gradient_descent	1
study	1
sufficiency	1
supervised	1
surrogate	1
symmetry	1
taylor	1
teaching	1
topology	1
types	1
variational	1
visualization	1

mdreid's theory [79 articles] Export

mdreid's tags