mdreid's library 206 articles Export

	On proof and progress in mathematics [My Copy] (1 Apr 1994) by William P. Thurston posted to sociology maths culture community by mdreid on 2009-11-16 10:38:49 as along with 4 people and 1 group deepthought jrw proportional miteshjain Statistical Machine Learning
	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
	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
	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 on 2009-10-10 04:07:34 as along with 1 group Statistical Machine Learning
	RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments [My Copy] Journal of Machine Learning Research, Vol. 10 (September 2009), pp. 2133-2136. by Brian Tanner, Adam White posted to reinforcement protocol learning language experimental by mdreid on 2009-10-06 02:35:17 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 on 2009-09-29 02:00:35 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
	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
	Applying learning algorithms to preference elicitation [My Copy] In EC '04: Proceedings of the 5th ACM conference on Electronic commerce (2004), pp. 180-188. by Sebastien M. Lahaie, David C. Parkes posted to queries protocol preference_elicitation economics auction by mdreid on 2009-09-15 00:31:22 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
	Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory [My Copy] The Annals of Statistics, Vol. 32, No. 4. (August 2004), pp. 1367-1433. by A. Philip Dawid, Peter D. Grünwald posted to game_theory exponential_family divergence decision_theory bregman bayesian by mdreid on 2009-09-02 00:38:16 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
	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
	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
	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
	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
	Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored [My Copy] Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 683-712. by Bertrand Clarke posted to stacking robustness mixture_models bayesian by mdreid on 2009-08-13 06:07:17 as along with 1 group Statistical Machine Learning
	Combining Information Extraction Systems Using Voting and Stacked Generalization [My Copy] Journal of Machine Learning Research, Vol. 6 (November 2005), pp. 1751-1782. by Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Michalis Hatzopoulos posted to stacking information_extraction ensemble application by mdreid on 2009-08-13 06:03:07 as along with 1 group Statistical Machine Learning
	Latent semantic models for collaborative filtering [My Copy] ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 89-115. by Thomas Hofmann posted to mixture_models graphical_models collaborative_filtering application by mdreid on 2009-08-13 01:14:47 as along with 18 people and 5 groups briordan zhaomin jamborta eastkim accessrajesh sergiolopez abellogin pprett ldietz horeis sids anon_pl macle ocelma ransombriggs imrchen zhangl adamsi Statistical Machine Learning Adaptive-Web CompIntelligentSystems MTG oktave-labs
	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
	A study of mixture models for collaborative filtering [My Copy] Information Retrieval, Vol. 9, No. 3. (1 June 2006), pp. 357-382. by Rong Jin, Luo Si, Chengxiang Zhai posted to bayesian collaborative_filtering mixture modelling survey by mdreid on 2009-08-01 10:41:59 as along with 1 person and 1 group abellogin 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
	The Remarkable Simplicity of Very High Dimensional Data: Application of Model-Based Clustering [My Copy] (16 Nov 2008) by Fionn Murtagh posted to clustering high-dimensional simplex by mdreid on 2009-07-28 06:21:18 as along with 1 person dah
	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
	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
	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 on 2009-07-09 05:36:16 as along with 1 group Statistical Machine Learning
	Solving large scale linear prediction problems using stochastic gradient descent algorithms [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 116. by Tong Zhang posted to large_scale online sgd by mdreid on 2009-07-08 05:20:15 as along with 4 people and 1 group nliu82 pprett wcohen coleslaw 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
	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
	Universal Kernel-Based Learning with Applications to Regular Languages [My Copy] Journal of Machine Learning Research, Vol. 10 (May 2009), pp. 1095-1129. by Leonid A. Kontorovich, Boaz Nadler posted to automata kernel language margin svm by mdreid on 2009-06-06 05:28:49 as along with 1 group 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
	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
	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

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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
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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
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mine	1
minimax	1
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mle	1
noise	1
pab	1
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physics	1
pinsker	1
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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
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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

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