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

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

44 Videos · Jul 9, 2011

About

Additional information can be found at COLT 2011 home page.

Videos

Invited Talks

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01:00:46

Where machine vision needs help from machine learning

William T. Freeman

Aug 2, 2011

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10568 views

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57:40

Learning in the real world

David Hand

Aug 2, 2011

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5239 views

Machine Learning Journal Paper Awards

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18:27

Multiclass Learnability and the ERM principle

Amit Daniely

Aug 2, 2011

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3520 views

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26:46

Online Learning: Beyond Regret

Karthik Sridharan

Aug 2, 2011

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4549 views

Recommendation Systems and Matrix Estimation

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22:26

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

Ohad Shamir

Aug 2, 2011

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3131 views

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22:51

Concentration-Based Guarantees for Low-Rank Matrix Reconstruction

Rina Foygel

Aug 2, 2011

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3997 views

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19:45

Sequential Event Prediction with Association Rules

Cynthia Rudin

Aug 2, 2011

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3709 views

NE dovoli objave

Draft
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11:24

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

Laëtitia Comminges

Sep 4, 2019

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2 views

Sparsity

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21:08

Sparsity regret bounds for individual sequences in online linear regression

Sébastien Gerchinovitz

Aug 2, 2011

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3375 views

Computation and Learning

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24:31

Distribution-Independent Evolvability of Linear Threshold Functions

Vitaly Feldman

Aug 2, 2011

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3127 views

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28:38

Oracle inequalities for computationally budgeted model selection

Alekh Agarwal

Aug 2, 2011

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3429 views

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19:53

A Close Look to Margin Complexity and Related Parameters

Michael Kallweit

Aug 2, 2011

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3085 views

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18:24

Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas

Homin K. Lee

Aug 2, 2011

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2711 views

Privacy

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21:01

Sample Complexity Bounds for Differentially Private Learning

Daniel Hsu

Aug 2, 2011

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3833 views

Open problems session

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10:32

Monotone multi-armed bandit allocations

Aleksandrs Slivkins

Aug 2, 2011

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3316 views

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21:25

Bounds on individual risk for log-loss predictors

Peter Grünwald

Aug 2, 2011

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3153 views

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11:32

Does an efficient calibrated forecasting strategy exist?

Jacob Abernethy

Aug 2, 2011

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3821 views

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10:07

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

Elad Hazan

Aug 2, 2011

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4676 views

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09:53

Missing information impediments to learnability

Loizos Michael

Aug 16, 2011

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3039 views

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08:04

Minimax algorithm for learning rotations

Wojciech Kotlowski

Aug 2, 2011

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3478 views

Learnability

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25:57

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

Steve Hanneke

Aug 2, 2011

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3395 views

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17:20

The Sample Complexity of Dictionary Learning

Daniel Vainsencher

Aug 2, 2011

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3720 views

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12:26

On the Consistency of Multi-Label Learning

Wei Gao

Aug 2, 2011

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3344 views

Statistical Estimation

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25:45

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

Ping Li

Aug 2, 2011

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3564 views

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20:59

Neyman-Pearson classification under a strict constraint

Philippe Rigollet

Aug 2, 2011

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5029 views

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23:01

Adaptive Density Level Set Clustering

Ingo Steinwart

Aug 2, 2011

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3040 views

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21:42

Competitive Closeness Testing

Hirakendu Das

Aug 2, 2011

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3165 views

Online Learning, approachability, and calibration

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20:43

Blackwell Approachability and No-Regret Learning are Equivalent

Jacob Abernethy

Aug 2, 2011

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5940 views

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24:44

Complexity-Based Approach to Calibration with Checking Rules

Alexander Rakhlin

Aug 2, 2011

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3483 views

Control and Reinforcement Learning

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23:12

Agnostic KWIK learning and efficient approximate reinforcement learning

Csaba Szepesvári

Aug 2, 2011

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4029 views

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21:06

Regret Bounds for the Adaptive Control of Linear Quadratic Systems

Csaba Szepesvári

Aug 2, 2011

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3814 views

Bandits

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24:37

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond

Aurélien Garivier

Aug 2, 2011

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3750 views

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22:07

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

Odalric-Ambrym Maillard

Aug 2, 2011

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3373 views

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24:02

Contextual Bandits with Similarity Information

Aleksandrs Slivkins

Aug 2, 2011

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3734 views

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19:48

Bandits, Query Learning, and the Haystack Dimension

Kareem Amin

Aug 2, 2011

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2905 views

Optimization

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17:43

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

Satyen Kale

Aug 2, 2011

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3633 views

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21:35

The Rate of Convergence of AdaBoost

Cynthia Rudin

Aug 2, 2011

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4687 views

Games

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24:45

Minimax Policies for Combinatorial Prediction Games

Sébastien Bubeck

Aug 2, 2011

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5914 views

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21:28

Robust approachability and regret minimization in games with partial monitoring

Vianney Perchet

Aug 2, 2011

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3095 views

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23:05

Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments

Gábor Bartók

Aug 2, 2011

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3816 views

Aggregation Methods and MDL

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24:38

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

Peter Grünwald

Aug 2, 2011

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3758 views

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23:51

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

Wojciech Kotlowski

Aug 2, 2011

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3782 views

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22:02

Optimal aggregation of affine estimators

Joseph Salmon

Aug 2, 2011

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3029 views

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19:30

Mixability is Bayes Risk Curvature Relative to Log Loss

Robert C. Williamson

Aug 2, 2011

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3530 views