Group: Statistical Machine Learning - with tag bounds [19 articles] Export

Recent papers posted by members of the Statistical Machine Learning group with tag bounds

	Applications of strong convexity--strong smoothness duality to learning with matrices [My Copy] (4 Oct 2009) by Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari posted to radamacher online duality convexity bounds by mdreid to the group Statistical Machine Learning on 2009-10-10 04:07:34 as
	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 to the group Statistical Machine Learning on 2009-09-29 02:00:35 as
	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 to the group Statistical Machine Learning on 2009-09-14 00:49:33 as
	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 to the group Statistical Machine Learning on 2009-08-03 05:02:56 as
	Agnostic Learning Nonconvex Function Classes [My Copy] Computational Learning Theory (2002), pp. 149-169. by Shahar Mendelson, Robert Williamson posted to bounds convexity rates by mdreid to the group Statistical Machine Learning on 2009-07-09 05:36:17 as
	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 to the group Statistical Machine Learning on 2009-06-05 04:53:37 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 to the group Statistical Machine Learning on 2009-05-17 01:42:38 as
	Generalization bounds and consistency for structured labeling [My Copy] In Predicting Structured Data by D. Mcallester posted to bounds consistency structure theory by mdreid to the group Statistical Machine Learning on 2009-05-05 13:09:17 as
	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 to the group Statistical Machine Learning on 2009-05-04 01:14:20 as along with 1 person shivak
	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 to the group Statistical Machine Learning on 2009-04-23 05:29:34 as
	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 to the group Statistical Machine Learning on 2009-04-11 03:16:59 as
	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 to the group Statistical Machine Learning on 2009-04-08 12:32:59 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 to the group Statistical Machine Learning on 2009-03-26 05:48:09 as along with 3 people idlebrain arsyed jorgeac
	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 to the group Statistical Machine Learning on 2009-03-25 10:40:43 as
	An Augmented PAC Model for Semi-Supervised Learning [My Copy] In Semi-Supervised Learning (2006), pp. 397-420. by Maria-Florina Balcan, Avrim Blum edited by Olivier Chapelle, Bernhard Schölkopf, Alexander Zien posted to bounds compatibility pac semisupervised theory by mdreid to the group Statistical Machine Learning on 2008-07-21 06:31:07 as along with 1 person deysandeep
	Local Rademacher complexities [My Copy] Annals of Statistics, Vol. 33, No. 4. (2005), pp. 1497-1537. by Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson posted to bounds complexity data_dependent error inequality by mdreid to the group Statistical Machine Learning on 2008-07-18 02:52:53 as along with 1 person davidr
	Risk bounds for statistical learning [My Copy] (23 Feb 2007) by Pascal Massart, Élodie Nédélec posted to bounds classification erm theory by mdreid to the group Statistical Machine Learning on 2008-03-13 03:53:25 as
	Concentration-of-measure Inequalities [My Copy] (February 2006) by Gábor Lugosi posted to bounds inequality lecture_notes probability theory by mdreid to the group Statistical Machine Learning on 2008-03-12 00:36:34 as
	Generalization Bounds for the Area Under the ROC Curve [My Copy] Journal of Machine Learning Research, Vol. 6 (April 2005), pp. 393-425. by Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth posted to auc bounds ranking theory by mdreid to the group Statistical Machine Learning on 2008-03-11 04:31:29 as

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theory	21
convexity	6
pac-bayes	6
information	5
classification	4
decoding	4
erm	4
radamacher	4
ranking	4
risk	4
coding	3
data	3
sparse	3
algebraic	2
analyticity	2
auc	2
aversion	2
boosting	2
chaining	2
covq	2
distance	2
duality	2
error	2
frequent	2
kuramoto-sivashinsky	2
loss	2
margin	2
methods	2
mining	2
navier_stokes	2
new	2
online	2
patterns	2
random_coding	2
rates	2
sampling	2
scoring_rules	2
signal	2
source_channel_coding	2
surrogate_loss	2
upper	2
afa	1
approximate	1
approximations	1
array	1
attractor	1
band	1
blow-up	1
channel	1
channels	1
circuit	1
computation	1
constraints	1
continuity	1
continuous	1
covariance	1
dissipativity	1
emptiness	1
encoding	1
enstrophy	1
equivalence	1
existing	1
extended_ks	1
extremum	1
fixed_flux	1
high-dimensional	1
image	1
inequalities	1
koetter	1
learning	1
list	1
math	1
matrices	1
mean	1
mse	1
mu	1
network	1
noise	1
of	1
optimal	1
option	1
over-complete	1
overcomplete	1
physics	1
policy	1
properties	1
ralf	1
reed-solomon	1
reinforcement	1
reliability	1
representation	1
representations	1
singular	1
soft-decision	1
structured	1
time	1
turbulence	1
ultra	1
well-posed	1
wideband	1

Group: Statistical Machine Learning - with tag bounds [19 articles] Export

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