COLT 2014 - Barcelona

27th Annual Conference on Learning Theory (COLT), Barcelona 2014

The conference strongly supports a broad definition of learning theory, including, but not limited to:

• Design and analysis of learning algorithms and their generalization ability
• Computational complexity of learning
• Optimization procedures for learning
• Unsupervised, semi-supervised learning, and clustering
• Online learning
• Interactive learning
• Kernel Methods
• High dimensional and non-parametric empirical inference, including sparsity methods
• Planning and control, including reinforcement learning
• Learning with additional constraints: E.g. privacy, time or memory budget, communication
• Learning in other settings: E.g. social, economic, and game-theoretic
• Analysis of learning in related fields: natural language processing, neuroscience, bioinformatics, privacy and security, machine vision, data mining, information retrieval.

Additional information can be found at COLT 2014 home page.

Categories

Top » Computer Science » Machine Learning » Supervised Learning
Top » Computer Science » Machine Learning » Statistical Learning
Top » Computer Science » Machine Learning » On-line Learning
Top » Computer Science » Machine Learning » Computational Learning Theory
Top » Computer Science » Machine Learning » Unsupervised Learning


Invited Speakers
[syn] 19276 views, 56:26 Invited Talk On the Computational and Statistical Interface and "BIG DATA"On the Computational and Statistical Interface and "BIG DATA" Michael I. Jordan Michael I. Jordan	[syn] 3677 views, 50:22 Invited Talk Implementing the "Wisdom of the Crowd"Implementing the "Wisdom of the Crowd" Yishay Mansour Yishay Mansour
Unsupervised Learning; Dictionary Learning; Latent Variable Models
[syn] 3876 views, 16:20 New Algorithms for Learning Incoherent and Overcomplete Dictionaries New Algorithms for Learning Incoherent and Overcomplete Dictionaries Ankur Moitra Ankur Moitra	[syn] 2896 views, 17:06 Best Paper Award Belief Propagation, Robust Reconstruction and Optimal Recovery of Block ModelsBelief Propagation, Robust Reconstruction and Optimal Recovery of Block Models Joe Neeman Joe Neeman	[syn] 2520 views, 19:44 Uniqueness of Tensor Decompositions with Applications to Polynomial IdentifiabilityUniqueness of Tensor Decompositions with Applications to Polynomial Identifiability Moses Charikar Moses Charikar
Concentration
[syn] 3046 views, 15:28 Localized Complexities for Transductive LearningLocalized Complexities for Transductive Learning Ilya O. Tolstikhin Ilya O. Tolstikhin	[syn] 4950 views, 14:25 Learning without ConcentrationLearning without Concentration Shahar Mendelson Shahar Mendelson	[syn] 2151 views, 14:56 An Inequality with Applications to Structured Sparsity and Multitask Dictionary LearningAn Inequality with Applications to Structured Sparsity and Multitask Dictionary ... Andreas Maurer Andreas Maurer
Unsupervised Learning; Dictionary Learning; Latent Variable Models II
[syn] 2116 views, 06:00 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility ResultsEdge Label Inference in Generalized Stochastic Block Models: from Spectral ... Laurent Massouile Laurent Massouile	[syn] 2930 views, 05:51 Learning Sparsely Used Overcomplete DictionariesLearning Sparsely Used Overcomplete Dictionaries Prateek Jain Prateek Jain	[syn] 3195 views, 04:30 Density-preserving quantization with application to graph downsamplingDensity-preserving quantization with application to graph downsampling Morteza Alamgir Morteza Alamgir	[syn] 2187 views, 06:42 Mixed Regression: Minimax Optimal RatesMixed Regression: Minimax Optimal Rates Constantine Caramanis Constantine Caramanis
Statistical Learning Theory
[syn] 2702 views, 15:54 Finalist Best Student Paper Uniqueness of ordinal embeddingUniqueness of ordinal embedding Matthäus Kleindessner Matthäus Kleindessner	[syn] 2529 views, 15:00 On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning ProblemsOn the Consistency of Output Code Based Learning Algorithms for ... Harish G. Ramaswamy Harish G. Ramaswamy	[syn] 2421 views, 13:53 Finalist Best Student Paper The complexity of learning halfspaces using generalized linear methodsThe complexity of learning halfspaces using generalized linear methods Amit Daniely Amit Daniely	[syn] 2441 views, 05:20 Sample Compression for Multi-label Concept ClassesSample Compression for Multi-label Concept Classes Rahim Samei Rahim Samei	[syn] 3227 views, 06:24 The sample complexity of agnostic learning under deterministic labelsThe sample complexity of agnostic learning under deterministic labels Ruth Urner Ruth Urner
[syn] 2259 views, 06:12 Bayes-Optimal Scorers for Bipartite RankingBayes-Optimal Scorers for Bipartite Ranking Aditya Menon Aditya Menon	[syn] 2151 views, 07:20 Elicitation and Identification of PropertiesElicitation and Identification of Properties Ingo Steinwart Ingo Steinwart
Unsupervised Learning; Mixture Models
[syn] 3397 views, 13:44 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian MixturesThe More, the Merrier: the Blessing of Dimensionality for Learning ... Joseph Anderson Joseph Anderson	[syn] 3783 views, 19:38 Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of GaussiansFaster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of ... Gautam Kamath Gautam Kamath	[syn] 2391 views, 16:40 Learning Mixture of Discrete Distributions over Product SpacesLearning Mixture of Discrete Distributions over Product Spaces Prateek Jain Prateek Jain
Online Learning
[syn] 2397 views, 15:58 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and ... Francesco Orabona Francesco Orabona	[syn] 3112 views, 16:42 Follow the Leader with Dropout PerturbationsFollow the Leader with Dropout Perturbations Tim van Erven Tim van Erven	[syn] 2425 views, 15:52 Finalist Best Student Paper A Second-order Bound with Excess LossesA Second-order Bound with Excess Losses Pierre Gaillard Pierre Gaillard	[syn] 2498 views, 20:54 Online Nonparametric RegressionOnline Nonparametric Regression Alexander Rakhlin Alexander Rakhlin	[syn] 2966 views, 04:48 Learning with Perturbations via Gaussian SmoothingLearning with Perturbations via Gaussian Smoothing Chansoo Lee Chansoo Lee
[syn] 2664 views, 08:55 Online Learning with Composite Loss FunctionsOnline Learning with Composite Loss Functions Ofer Dekel Ofer Dekel	[syn] 3068 views, 06:15 Most Correlated Arms IdentificationMost Correlated Arms Identification Sébastien Bubeck Sébastien Bubeck
Statistical and Online Learning
[syn] 2193 views, 14:02 Efficiency of conformalized ridge regressionEfficiency of conformalized ridge regression Evgeny Burnaev Evgeny Burnaev	[syn] 2644 views, 17:22 Community Detection via Random and Adaptive SamplingCommunity Detection via Random and Adaptive Sampling Se-Young Yun Se-Young Yun	[syn] 2312 views, 16:24 Logistic Regression: Tight Bounds for Stochastic and Online OptimizationLogistic Regression: Tight Bounds for Stochastic and Online Optimization Kfir Y. Levy Kfir Y. Levy
Learning with Partial Feedback
[syn] 2407 views, 16:42 Resourceful Contextual BanditsResourceful Contextual Bandits Aleksandrs Slivkins Aleksandrs Slivkins	[syn] 2503 views, 16:23 On the Complexity of A/B TestingOn the Complexity of A/B Testing Emilie Kaufmann Emilie Kaufmann	[syn] 2174 views, 15:54 Finding a most biased coin with fewest flipsFinding a most biased coin with fewest flips Karthekeyan Chandrasekaran Karthekeyan Chandrasekaran	[syn] 2418 views, 08:03 Stochastic Regret Minimization via Thompson SamplingStochastic Regret Minimization via Thompson Sampling Sudipto Guha Sudipto Guha	[syn] 2309 views, 04:15 Lipschitz Bandits: Regret Lower Bounds and Optimal AlgorithmsLipschitz Bandits: Regret Lower Bounds and Optimal Algorithms Stefan Magureanu Stefan Magureanu
Computational Learning Theory/Algorithmic Results
[syn] 3688 views, 17:24 Near-Optimal HerdingNear-Optimal Herding Samira Samadi Samira Samadi	[syn] 2279 views, 17:39 Learning Coverage Functions and Private Release of MarginalsLearning Coverage Functions and Private Release of Marginals Pravesh Kothari Pravesh Kothari	[syn] 2313 views, 16:02 Distribution-Independent Reliable LearningDistribution-Independent Reliable Learning Varun Kanade Varun Kanade 1 comment	[syn] 2684 views, 15:40 Fast Matrix Completion Without the Condition Number Fast Matrix Completion Without the Condition Number Mary Wootters Mary Wootters
Computational Learning Theory/Lower Bounds
[syn] 2437 views, 18:23 Computational Limits for Matrix CompletionComputational Limits for Matrix Completion Benjamin Weitz Benjamin Weitz	[syn] 3051 views, 15:16 Lower bounds on the performance of polynomial-time algorithms for sparse linear regressionLower bounds on the performance of polynomial-time algorithms for sparse ... Yuchen Zhang Yuchen Zhang
Learning with Partial Feedback
[syn] 2143 views, 15:07 lil’ UCB: An Optimal Exploration Algorithm for Multi-Armed Banditslil’ UCB: An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin Jamieson Kevin Jamieson	[syn] 2579 views, 14:01 Multiarmed Bandits With Limited Expert AdviceMultiarmed Bandits With Limited Expert Advice Satyen Kale Satyen Kale	[syn] 2116 views, 16:53 Volumetric Ellipsoids: An exploration basis for learningVolumetric Ellipsoids: An exploration basis for learning Zohar Karnin Zohar Karnin
Statistical Learning Theory
[syn] 2399 views, 17:31 Optimal Learners for Multiclass ProblemsOptimal Learners for Multiclass Problems Amit Daniely Amit Daniely	[syn] 2566 views, 19:17 SVD and Higher Order Correlations for Distributed DataSVD and Higher Order Correlations for Distributed Data Ravindran Kannan Ravindran Kannan	[syn] 2326 views, 20:20 The Geometry of LossesThe Geometry of Losses Robert C. Williamson Robert C. Williamson	[syn] 2251 views, 21:30 Sample Complexity Bounds on Differentially Private Learning via Communication ComplexitySample Complexity Bounds on Differentially Private Learning via Communication Complexity Vitaly Feldman Vitaly Feldman
Sequential Learning
[syn] 2375 views, 19:33 Robust Multi-objective Learning with Mentor Feedback Robust Multi-objective Learning with Mentor Feedback Robert Schapire Robert Schapire	[syn] 2376 views, 16:21 Online learning & multi-objective optimizationOnline learning & multi-objective optimization Vianney Perchet Vianney Perchet	[syn] 3193 views, 17:44 Compressed Counting Meets Compressed SensingCompressed Counting Meets Compressed Sensing Ping Li Ping Li

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Topic taxonomy

Type of content

Language

Year

COLT 2014 - Barcelona

27th Annual Conference on Learning Theory (COLT), Barcelona 2014

Invited Speakers

Unsupervised Learning; Dictionary Learning; Latent Variable Models

Concentration

Unsupervised Learning; Dictionary Learning; Latent Variable Models II

Statistical Learning Theory

Unsupervised Learning; Mixture Models

Online Learning

Statistical and Online Learning

Learning with Partial Feedback

Computational Learning Theory/Algorithmic Results

Computational Learning Theory/Lower Bounds

Learning with Partial Feedback

Statistical Learning Theory

Sequential Learning

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