mdreid's probability [20 articles] Export

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	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
	A conjugate prior for discrete hierarchical log-linear models [My Copy] (2 Sep 2009) by Hélène Massam, Jinnan Liu, Adrian Dobra posted to reduction probability nonparametric estimation convexity by mdreid on 2009-08-24 06:00:18 as along with 5 people and 1 group acrmartins dah ansobol deanmalmgren eisdur Statistical Machine Learning
	Issues in Stacked Generalization [My Copy] Journal of Artificial Intelligence Research, Vol. 10 (1999), pp. 271-289. by Kai M. Ting, Ian H. Witten posted to stacking probability ensemble confidence by mdreid on 2009-08-13 06:09:51 as along with 1 person and 1 group haiyeong 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
	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
	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
	Conditional Probability Tree Estimation Analysis and Algorithms [My Copy] (25 Mar 2009) by Alina Beygelzimer, John Langford, Yuri Lifshits, Gregory Sorkin, Alex Strehl posted to estimation probability reduction by mdreid on 2009-03-27 23:42:46 as along with 1 person and 1 group jjrodriguez 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
	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
	Elicitability [My Copy] In Proceedings of the ACM Conference on Electronic Commerce (July 2008) by Nicolas Lambert, David Pennock, Yoav Shoham posted to integral_representation prediction_markets probability scoring_rules weighting by mdreid on 2008-07-22 06:13:12 as along with 1 group Statistical Machine Learning
	Evaluating Probabilities: Asymmetric Scoring Rules [My Copy] Management Science, Vol. 40, No. 11. (1994), pp. 1395-1405. by Robert L. Winkler posted to asymmetric probability scoring_rules by mdreid on 2008-07-22 00:27:36 as along with 1 group 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
	A Tutorial on Conformal Prediction [My Copy] Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 371-421. by Glenn Shafer, Vladimir Vovk posted to confidence conformal_prediction credibility exchangeability probability theory tutorial by mdreid on 2008-06-12 05:47:21 as along with 3 people and 1 group robotact jjrodriguez vlachmore Statistical Machine Learning
	The optimal discretization of probability density functions [My Copy] Computational Statistics & Data Analysis, Vol. 31, No. 4. (28 October 1999), pp. 475-486. by A. Christofides, B. Tanyi, S. Christofides, D. Whobrey, N. Christofides posted to density_estimation discretisation dynamic_programming function_approximation probability by mdreid on 2008-04-30 01:42:46 as along with 1 person and 1 group ron_maurer Statistical Machine Learning
	Concentration-of-measure Inequalities [My Copy] (February 2006) by Gábor Lugosi posted to bounds inequality lecture_notes probability theory by mdreid on 2008-03-12 00:36:33 as along with 1 group Statistical Machine Learning
	Szemerédi's regularity lemma revisited [My Copy] (16 Nov 2005) by Terence Tao posted to combinatorics conditional_expectation graph inequality information probability theory by mdreid on 2008-02-25 05:02:51 as along with 1 person sflammia
	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
	Constrained Nonparametric Maximum Likelihood via Mixtures [My Copy] Journal of Computational and Graphical Statistics, Vol. 9, No. 4. (2000), pp. 633-641. by Peter D. Hoff posted to convexity fenchel_duality mle probability by mdreid on 2008-02-13 10:24:39 as

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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 probability [20 articles] Export

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