mdreid's library 205 articles Export

Ordered by to_read.

	Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results [My Copy] Journal of Machine Learning Research, Vol. 8 (April 2007), pp. 775-790. by Peter L. Bartlett, Ambuj Tewari posted to sparse probability estimation consistency asymptotic_results by mdreid on 2009-10-12 02:25:14 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
	Stochastic methods for <i>l</i><sub>1</sub> regularized loss minimization [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 929-936. by Shai S. Shwartz, Ambuj Tewari posted to sgd scd regularisation online l1 by mdreid on 2009-09-01 08:19:33 as along with 1 group Statistical Machine Learning
	New multicategory boosting algorithms based on multicategory Fisher-consistent losses [My Copy] The Annals of Applied Statistics, Vol. 2, No. 4. (December 2008), pp. 1290-1306. by Hui Zou, Ji Zhu, Trevor Hastie posted to multiclass consistency boosting algorithm by mdreid on 2009-08-24 04:54:12 as along with 1 group Statistical Machine Learning
	Eliciting Truthful Answers to Multiple-Choice Questions [My Copy] In 10th ACM Conference on Electronic Commerce (2009) by Nicolas Lambert, Yoav Shoham posted to distributions elicitation scoring_rules by mdreid on 2009-07-13 03:56:10 as along with 1 group Statistical Machine Learning
	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
	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
	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
	A Stochastic View of Optimal Regret through Minimax Duality [My Copy] (30 Mar 2009) by Jacob Abernethy, Alekh Agarwal, Peter L. Bartlett, Alexander Rakhlin posted to bregman_divergence convexity duality game_theory online by mdreid on 2009-04-01 09:03:19 as along with 1 group Statistical Machine Learning
	Evidence Contrary to the Statistical View of Boosting [My Copy] Journal of Machine Learning Research, Vol. 9 (February 2008), pp. 131-156. by David Mease, Abraham Wyner posted to boosting estimation evaluation experimental survey by mdreid on 2009-03-26 01:55:36 as along with 3 people and 1 group ptrobajo sdvillal jjrodriguez Statistical Machine Learning
	Prediction with expert evaluators' advice [My Copy] (23 Mar 2009) by Alexey Chernov, Vladimir Vovk posted to algorithm experts loss protocol online by mdreid on 2009-03-24 03:42:28 as along with 1 group Statistical Machine Learning
	The Tradeoffs of Large Scale Learning [My Copy] In Advances in Neural Information Processing Systems 20 (2008), pp. 161-168. by Léon Bottou, Olivier Bousquet edited by J. C. Platt, D. Koller, Y. Singer, S. Roweis posted to large_scale stochastic_gradient_descent surrogate_loss online by mdreid on 2009-03-22 09:53:51 as along with 1 group Statistical Machine Learning
	RASE: recognition of alternatively spliced exons in C.elegans. [My Copy] Bioinformatics, Vol. 21 Suppl 1 (1 June 2005) by G. Rätsch, S. Sonnenburg, B. Schölkopf posted to data introns spliceosome by mdreid on 2009-03-16 07:11:54 as along with 3 people and 2 groups thegoose2 tharris kaspermunch C. elegans / WormBase Bioinformatics
	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
	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
	On surrogate loss functions and f-divergences [My Copy] Annals of Statistics, Vol. 37, No. 2. (2009), pp. 876-904. by Xuanlong Nguyen, Martin J. Waonwright, Michael I. Jordan posted to f-divergence quantisation surrogate_loss by mdreid on 2009-03-10 23:08:47 as along with 1 group Statistical Machine Learning
	On a Functional Operation Generating Convex Functions, Part 1: Duality [My Copy] Journal of Optimization Theory and Applications, Vol. 126, No. 1. (1 July 2005), pp. 175-189. by P. Maréchal posted to convexity duality theory by mdreid on 2008-09-04 09:37:35 as
	Combinatorial Information Market Design [My Copy] Information Systems Frontiers (January 2003), pp. 107-119. by R. Hanson posted to prediction_markets scoring_rules by mdreid on 2008-08-07 01:06:05 as along with 1 group Statistical Machine Learning
	Graphical models, exponential families, and variational inference [My Copy] (17 September 2003) by Martin J. Wainwright, Michael I. Jordan posted to duality by mdreid on 2008-07-11 17:51:11 as along with 1 person and 1 group tdhollan Statistical Machine Learning
	Unifying Divergence Minimization and Statistical Inference Via Convex Duality [My Copy] Learning Theory (2006), pp. 139-153. by Yasemin Altun, Alex Smola posted to class_probability_estimation convexity divergence duality exponential_family by mdreid on 2008-05-28 07:48:54 as along with 1 group Statistical Machine Learning
	Considering Cost Asymmetry in Learning Classifiers [My Copy] Journal of Machine Learning Research, Vol. 7 (August 2006), pp. 1713-1741. by Francis R. Bach, David Heckerman, Eric Horvitz posted to auc classification cost_sensitive roc svm by mdreid on 2008-03-14 04:41:56 as along with 1 group Statistical Machine Learning
	Nonparametric estimation of convex models via mixtures [My Copy] Annals of Statistics, Vol. 31, No. 1. (2003), pp. 174-200. by Peter D. Hoff posted to convexity extremal mixture_models probability by mdreid on 2008-02-13 10:33:48 as
	How to Compare Different Loss Functions and Their Risks [My Copy] Constructive Approximation, Vol. 26, No. 2. (August 2007), pp. 225-287. by Ingo Steinwart posted to calibration classification class_probability_estimation density_estimation loss surrogate_loss theory by mdreid on 2008-01-15 03:21:15 as along with 2 people and 1 group sdvillal mohdzamrimurah Statistical Machine Learning
	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
	Generalised Entropy and Asymptotic Complexities of Languages [My Copy] Learning Theory (2007), pp. 293-307. by Yuri Kalnishkan, Vladimir Vovk, Michael Vyugin posted to online game_theory entropy convexity complexity by mdreid on 2009-09-24 11:08:02 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 on 2009-09-14 00:49:33 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
	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
	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
	A more robust boosting algorithm [My Copy] (13 May 2009) by Yoav Freund posted to boosting convexity margin robustness by mdreid on 2009-05-15 08:19:34 as along with 2 people and 1 group jjrodriguez shivak 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
	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
	Advances in the Exon-Intron Database (EID). [My Copy] Briefings in bioinformatics, Vol. 7, No. 2. (June 2006), pp. 178-185. by V. Shepelev, A. Fedorov posted to bioinformatics data introns by mdreid on 2009-03-17 04:34:56 as along with 1 person guhjy
	EID: the Exon-Intron Database--an exhaustive database of protein-coding intron-containing genes [My Copy] Nucl. Acids Res., Vol. 28, No. 1. (1 January 2000), pp. 185-190. by Serge Saxonov, Iraj Daizadeh, Alexei Fedorov, Walter Gilbert posted to bioinformatics data introns by mdreid on 2009-03-17 04:13:19 as
	Maximum Entropy Discrimination Markov Networks [My Copy] (18 Jan 2009) by Jun Zhu, Eric P. Xing posted to bayesian discriminative generative max-ent max-margin by mdreid on 2009-03-16 06:22:06 as along with 1 group Statistical Machine Learning
	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
	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
	Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 995-1018. by Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth posted to bregman_divergence gradient kernel matrix online by mdreid on 2009-01-12 21:02:13 as along with 1 person and 2 groups ciga Statistical Machine Learning Computational_Information_Geometry
	Measures of Clustering Quality: A Working Set of Axioms for Clustering [My Copy] In Proceedings of the 22nd Annual Conference on Neural Information Systems Processing (2008) by Margareta Ackerman, Shai Ben-David posted to clustering by mdreid on 2008-11-24 00:17:35 as along with 2 people and 1 group shpigi arsyed Statistical Machine Learning
	The Proximal Average: Basic Theory [My Copy] SIAM Journal on Optimization, Vol. 19, No. 2. (2008), pp. 766-785. by Heinz H. Bauschke, Rafal Goebel, Yves Lucet, Xianfu Wang posted to average convexity fenchel_duality theory by mdreid on 2008-09-23 04:37:54 as
	Predictocracy [My Copy] (2007) by Michael Abramowicz posted to prediction_markets by mdreid on 2008-09-15 07:21:33 as
	Support Vector Machines [My Copy] (2008) by Ingo Steinwart, Andreas Christmann posted to no-tag by mdreid on 2008-09-15 07:18:41 as along with 1 person and 1 group jorgeac Statistical Machine Learning
	Convex solutions of a functional equation arising in information theory [My Copy] Journal of Mathematical Analysis and Applications, Vol. 328, No. 2. (15 April 2007), pp. 1309-1320. by J. B. Hiriart-Urruty, J. E. Martínez-Legaz posted to convexity f-divergence information theory by mdreid on 2008-09-05 06:00:59 as along with 1 group Statistical Machine Learning
	Structured machine learning: the next ten years [My Copy] Machine Learning by Thomas Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli posted to future structure survey by mdreid on 2008-09-03 03:28:37 as along with 8 people and 1 group jjrodriguez abvg sona danielkcook bcao EmreSevinc briordan AbnerCYH Statistical Machine Learning
	Persistent Clustering and a Theorem of J. Kleinberg [My Copy] (16 Aug 2008) by Gunnar Carlsson, Facundo Memoli posted to category_theory clustering theory trees by mdreid on 2008-08-27 09:13:53 as along with 1 person and 1 group leemond31 Statistical Machine Learning
	Scoring rules and the evaluation of probabilities [My Copy] TEST, Vol. 5, No. 1. (28 March 1990), pp. 1-60. by R. Winkler, Javier Muñoz, José Cervera, et al.José Bernardo, Gail Blattenberger, Joseph Kadane, Dennis Lindley, Allan Murphy, Robert Oliver, David Ríos-Insua posted to probability scoring_rules by mdreid on 2008-07-22 00:23:11 as along with 1 group Statistical Machine Learning
	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 on 2008-07-21 06:31:07 as along with 1 person and 1 group deysandeep Statistical Machine Learning
	Kernel methods in machine learning [My Copy] Annals of Statistics, Vol. 36, No. 3. (2008), pp. 1171-1220. by Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola posted to kernel svm by mdreid on 2008-07-21 00:07:43 as along with 2 people and 1 group vlachmore tdhollan Statistical Machine Learning

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

Result page: 1 2 3 4 5 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
conformal_prediction	2
cost_sensitive	2
criticism	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
community	1
compatibility	1
completion	1
composition	1
compression	1
computability	1
concentration	1
conditional_expectation	1
cpp	1
credibility	1
culture	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
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
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 library 205 articles Export

mdreid's tags