shivak's learning_theory [32 articles] Export

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	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 learning_theory regularization robustness by shivak on 2009-08-11 03:29:22 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Topology and data [My Copy] by Gunnar Carlsson posted to geometry learning_theory topology viaarthegall by shivak on 2009-07-16 22:36:31 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Scale-sensitive dimensions, uniform convergence, and learnability [My Copy] J. ACM, Vol. 44, No. 4. (July 1997), pp. 615-631. by Noga Alon, Shai B. David, Nicolò C. Bianchi, David Haussler posted to capacity_control learning_theory by shivak on 2009-07-10 22:01:33 as along with 1 person sdvillal
	Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss [My Copy] Journal of Machine Learning Research, Vol. 7 (November 2006), pp. 2435-2447. by Di-Rong Chen, Tao Sun posted to convexity learning_theory surrogate_loss by shivak on 2009-07-02 02:23:47 as
	Generalization error for multi-class margin classification [My Copy] (27 Aug 2007) by Xiaotong Shen, Lifeng Wang posted to convexity learning_theory margins surrogate_loss by shivak on 2009-07-02 02:23:19 as
	Convexity, Classification, and Risk Bounds [My Copy] Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 138-156. by Peter L. Bartlett, Michael I. Jordan, Jon D. Mcauliffe posted to convexity learning_theory surrogate_loss by shivak on 2009-07-02 02:22:35 as along with 3 people and 1 group mmorzy sdvillal mdreid Statistical Machine Learning
	Kernel methods in machine learning [My Copy] (1 Jul 2008) by Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola posted to kernel_methods learning_theory machine_learning surveys by shivak on 2009-07-02 02:20:43 as along with 1 person sugarexpletive
	Learning with Spectral Kernels and Heavy-Tailed Data [My Copy] (24 Jun 2009) by Michael W. Mahoney, Hariharan Narayanan posted to empirical_risk_minimization heavy_tails learning_theory spectral_theory by shivak on 2009-07-02 02:17:06 as
	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 classification learning_theory surrogate_loss by shivak on 2009-07-02 02:16:07 as along with 2 people and 1 group mdreid sdvillal Statistical Machine Learning
	Covariate Shift Adaptation by Importance Weighted Cross Validation [My Copy] Journal of Machine Learning Research, Vol. 8 (May 2007), pp. 985-1005. by Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller posted to covariate_shift importance_weighting learning_theory by shivak on 2009-07-02 01:21:29 as along with 1 person sona
	Curse of Dimensionality in Pivot-based Indexes [My Copy] (18 Jun 2009) by Ilya Volnyansky, Vladimir Pestov posted to concentration_of_measure databases learning_theory by shivak on 2009-07-02 01:18:16 as
	Information, Divergence and Risk for Binary Experiments [My Copy] (5 Jan 2009) by Mark D. Reid, Robert C. Williamson posted to hypothesis_testing information_theory learning_theory machine_learning surrogate_loss surveys by shivak on 2009-07-02 00:57:27 as along with 3 people and 1 group sbarthelme mmorzy mdreid Statistical Machine Learning
	Sample Selection Bias Correction Theory [My Copy] by Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh posted to covariate_shift learning_theory machine_learning semi-supervised_learning by shivak on 2009-07-02 00:54:58 as
	Generalization error bounds for classifiers trained with interdependent data [My Copy] by Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari posted to dependent_data learning_theory rademacher_complexity by shivak on 2009-07-02 00:53:02 as
	Bounds for learning the kernel: Rademacher chaos complexity [My Copy] by Yiming Ying, Colin Campbell posted to kernel_methods learning_theory rademacher_complexity u_statistics by shivak on 2009-07-02 00:41:32 as
	Importance Weighted Active Learning [My Copy] (20 May 2009) by Alina Beygelzimer, Sanjoy Dasgupta, John Langford posted to active_learning learning_theory by shivak on 2009-07-02 00:18:26 as along with 1 person Mohan-S
	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 learning_theory localization by shivak on 2009-07-02 00:10:11 as along with 2 people and 1 group mdreid sdvillal 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 concentration_of_measure dependent_data learning_theory regression by shivak on 2009-07-02 00:03:35 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Achievability results for statistical learning under communication constraints [My Copy] by Maxim Raginsky posted to information_theory learning_theory by shivak on 2009-07-01 23:57:58 as
	Learning convex bodies is hard [My Copy] (7 Apr 2009) by Navin Goyal, Luis Rademacher posted to convexity geometry learning_theory by shivak on 2009-07-01 23:45:52 as along with 1 person ansobol
	Feature Hashing for Large Scale Multitask Learning [My Copy] (21 May 2009) by Kilian Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex Smola posted to concentration_of_measure dimensionality_reduction hashing learning_theory machine_learning sparsity by shivak on 2009-07-01 19:41:54 as
	A Polynomial Number of Random Points does not Determine the Volume of a Convex Body [My Copy] (15 Mar 2009) by Ronen Eldan posted to convexity geometry learning_theory sampling by shivak on 2009-07-01 19:36:50 as
	Matrix Completion With Noise [My Copy] (18 Mar 2009) by Emmanuel J. Candes, Yaniv Plan posted to compressed_sensing convexity learning_theory matrix_completion optimization by shivak on 2009-07-01 19:35:24 as along with 1 person sflammia
	On surrogate loss functions and f-divergences [My Copy] by Michael Jordan, Nguyen Xuanlong, Martin Wainwright posted to classification learning_theory surrogate_loss by shivak on 2009-07-01 19:30:08 as
	Data-driven Calibration of Penalties for Least-Squares Regression [My Copy] Journal of Machine Learning Research, Vol. 10 (February 2009), pp. 245-279. by Sylvain Arlot, Pascal Massart posted to data_dependent_methods learning_theory model_selection regularization statistics by shivak on 2009-07-01 19:24:29 as
	Theory of classification: a survey of some recent advances [My Copy] by Gabor Lugosi, Olivier Bousquet, Stephane Boucheron posted to capacity_control concentration_of_measure convexity empirical_processes learning_theory localization model_selection rademacher_complexity sensitivity surveys by shivak on 2009-07-01 19:15:41 as
	Teaching dimension and the complexity of active learning [My Copy] by Steve Hanneke posted to active_learning learning_theory by shivak on 2009-07-01 19:05:14 as
	Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization [My Copy] by Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan Rifkin posted to empirical_risk_minimization ill_posed_problems learning_theory resampling sensitivity by shivak on 2009-07-01 19:03:44 as
	Rademacher complexity bounds for non-I.I.D. processes [My Copy] by Mehryar Mohri, Afshin Rostamizadeh posted to data_dependent_methods dependent_data learning_theory rademacher_complexity by shivak on 2009-07-01 18:31:17 as
	2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization [My Copy] (1 Aug 2007) by Vladimir Koltchinskii posted to capacity_control data_dependent_methods empirical_processes learning_theory model_selection by shivak on 2009-07-01 18:20:01 as
	Learning and Generalization: With Applications to Neural Networks [My Copy] (11 November 2002) by Mathukumalli Vidyasagar posted to dynamical_systems empirical_processes learning_theory viabactra by shivak on 2009-07-01 18:15:56 as
	The True Sample Complexity of Active Learning [My Copy] by Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman posted to active_learning computational_learning_theory learning_theory machine_learning by shivak on 2009-07-01 17:31:30 as

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file-import-09-07-01	96
learning_theory	32
computational_learning_theory	17
evaluation	16
theoretical_computer_science	15
activelearning	14
machine_learning	14
statistics	14
probability	13
dependent_data	11
sequential_decisions	11
resampling	10
books	9
concentration_of_measure	9
convexity	9
model_selection	9
stochastic_processes	9
empirical_processes	8
compressed_sensing	7
game_theory	7
medical	7
sensitivity	7
surveys	7
evolution	6
prediction	6
surrogate_loss	6
type_systems	6
combinatorics	5
covariate_shift	5
graphical_models	5
hypothesis_testing	5
information_theory	5
machinelearning	5
mechanism_design	5
optimization	5
rademacher_complexity	5
sparsity	5
active_learning	4
bounded_rationality	4
capacity_control	4
categories	4
data_structures	4
economics	4
evolutionary	4
group_testing	4
kernel_methods	4
martingales	4
randomness	4
sampling	4
stopping_times	4
vision	4
algorithms	3
approximation_algorithms	3
computational_efficiency	3
cryptography	3
data_dependent_methods	3
ensemble_methods	3
experiment_design	3
frequentism	3
geometry	3
graph_theory	3
information_design	3
margins	3
numerical_methods	3
prequentialism	3
proof_techniques	3
regression	3
regularization	3
software	3
submodularity	3
topology	3
allocation	2
approximation	2
automata	2
bayesian	2
boolean_functions	2
boosting	2
circuits	2
classification	2
cmu	2
databases	2
dimensionality_reduction	2
empirical_risk_minimization	2
encoding_theory	2
finance	2
generating_functions	2
hashing	2
haskell	2
huh	2
ill_posed_problems	2
incentives	2
interactive_proofs	2
i_want_my_five_minutes_back	2
localization	2
machine-learning	2
mathematics	2
measure_theory	2
modeling	2
monte_carlo_methods	2
online_algorithms	2
parallelism	2
privacy	2
programming	2
programming_languages	2
proofs	2
random_projections	2
robustness	2
simulation	2
statistical_mechanics	2
survey	2
u_statistics	2
viabactra	2
active-learning	1
address_spaces	1
algebra	1
amusing	1
analysis	1
bandit_problems	1
bibtex-import	1
biology	1
bit_twiddling	1
caching	1
calculus	1
cellular_automata	1
classifiers	1
compression	1
computational_geometry	1
computer_science	1
computer_vision	1
concurrency	1
confidence_intervals	1
counterexamples	1
coupling	1
decision_trees	1
density_estimation	1
derivatives	1
detection	1
diagonalization	1
diamond	1
distance-metrics	1
distributed_systems	1
dual_problems	1
dynamical_systems	1
dynamic_programming	1
ensembles	1
exchangeability	1
exploits	1
fault_tolerance	1
feature	1
folly	1
growing	1
heavy_tails	1
high_dimensional_data	1
history	1
image	1
image-kernel	1
image-processing	1
implementation	1
importance_weighting	1
interdisciplinary	1
interfaces	1
internals	1
interpretability	1
ising_model	1
isoperimetry	1
kernels	1
large_deviations	1
lasso	1
latex	1
libre	1
likelihood	1
linearity	1
logic	1
markets	1
markov_decision_processes	1
matching	1
matrix_completion	1
media_attention	1
medicalimaging	1
medical-imaging	1
memory	1
mestrado	1
methodology	1
minimaxity	1
monads	1
multimedia	1
multiple_comparisons	1
networking	1
normality	1
object	1
oracle_estimators	1
paradoxes	1
parametrics	1
phase_transitions	1
prior_art	1
program_theory	1
protocols	1
psychology	1
pulled	1
quantum_mechanics	1
region	1
replicator_equations	1
retrieval	1
security	1
segmentation	1
semi-supervised_learning	1
sequential_analysis	1
spectral_theory	1
ssl	1
steganography	1
teaching	1
textures	1
thresholding	1
topic_models	1
turing_machines	1
typography	1
viaarthegall	1
zero_knowledge	1

shivak's learning_theory [32 articles] Export

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