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calendar icon Jul 9, 2011 videos icon 44 videos
24th Annual Conference on Learning Theory (COLT), Budapest 2011

24th Annual Conference on Learning Theory (COLT), Budapest 2011

Additional information can be found at COLT 2011 home page.

Invited Talks

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01:00:46

Where machine vision needs help from machine learning

William T. Freeman

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57:40

Learning in the real world

David Hand

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Machine Learning Journal Paper Awards

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18:27

Multiclass Learnability and the ERM principle

Amit Daniely

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26:46

Online Learning: Beyond Regret

Karthik Sridharan

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Recommendation Systems and Matrix Estimation

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22:26

Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing...

Ohad Shamir

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22:51

Concentration-Based Guarantees for Low-Rank Matrix Reconstruction

Rina Foygel

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19:45

Sequential Event Prediction with Association Rules

Cynthia Rudin

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NE dovoli objave

Draft
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11:24

Tight conditions for consistent variable selection in high dimensional nonparame...

Laëtitia Comminges

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Sparsity

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21:08

Sparsity regret bounds for individual sequences in online linear regression

Sébastien Gerchinovitz

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Computation and Learning

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24:31

Distribution-Independent Evolvability of Linear Threshold Functions

Vitaly Feldman

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28:38

Oracle inequalities for computationally budgeted model selection

Alekh Agarwal

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19:53

A Close Look to Margin Complexity and Related Parameters

Michael Kallweit

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18:24

Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas

Homin K. Lee

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Privacy

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21:01

Sample Complexity Bounds for Differentially Private Learning

Daniel Hsu

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Open problems session

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10:32

Monotone multi-armed bandit allocations

Aleksandrs Slivkins

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21:25

Bounds on individual risk for log-loss predictors

Peter Grünwald

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11:32

Does an efficient calibrated forecasting strategy exist?

Jacob Abernethy

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10:07

A simple multi-armed bandit algorithm with optimal variation-bounded regret

Elad Hazan

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09:53

Missing information impediments to learnability

Loizos Michael

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08:04

Minimax algorithm for learning rotations

Wojciech Kotlowski

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Learnability

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25:57

Identifiability of Priors from Bounded Sample Sizes with Applications to Transfe...

Steve Hanneke

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17:20

The Sample Complexity of Dictionary Learning

Daniel Vainsencher

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12:26

On the Consistency of Multi-Label Learning

Wei Gao

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Statistical Estimation

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25:45

A New Algorithm for Compressed Counting with Applications in Shannon Entropy Est...

Ping Li

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20:59

Neyman-Pearson classification under a strict constraint

Philippe Rigollet

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23:01

Adaptive Density Level Set Clustering

Ingo Steinwart

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21:42

Competitive Closeness Testing

Hirakendu Das

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Online Learning, approachability, and calibration

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20:43

Blackwell Approachability and No-Regret Learning are Equivalent

Jacob Abernethy

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24:44

Complexity-Based Approach to Calibration with Checking Rules

Alexander Rakhlin

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Control and Reinforcement Learning

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23:12

Agnostic KWIK learning and efficient approximate reinforcement learning

Csaba Szepesvári

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21:06

Regret Bounds for the Adaptive Control of Linear Quadratic Systems

Csaba Szepesvári

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Bandits

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24:37

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond

Aurélien Garivier

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22:07

A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Div...

Odalric-Ambrym Maillard

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24:02

Contextual Bandits with Similarity Information

Aleksandrs Slivkins

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19:48

Bandits, Query Learning, and the Haystack Dimension

Kareem Amin

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Optimization

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17:43

Beyond the regret minimization barrier: an optimal algorithm for stochastic stro...

Satyen Kale

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21:35

The Rate of Convergence of AdaBoost

Cynthia Rudin

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Games

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24:45

Minimax Policies for Combinatorial Prediction Games

Sébastien Bubeck

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21:28

Robust approachability and regret minimization in games with partial monitoring

Vianney Perchet

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23:05

Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments

Gábor Bartók

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Aggregation Methods and MDL

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24:38

Safe Learning: bridging the gap between Bayes, MDL and statistical learning theo...

Peter Grünwald

calendar icon Aug 2, 2011 3775 views

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23:51

Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Densi...

Wojciech Kotlowski

calendar icon Aug 2, 2011 3795 views

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22:02

Optimal aggregation of affine estimators

Joseph Salmon

calendar icon Aug 2, 2011 3040 views

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19:30

Mixability is Bayes Risk Curvature Relative to Log Loss

Robert C. Williamson

calendar icon Aug 2, 2011 3551 views

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