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Machine Learning
: Computational Learning Theory:
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Lectures
[syn] 814 views, 01:37:46
Online Learning and Game Theory
Adam Kalai
2 comments
invited speaker>
[syn] 273 views, 00:58:54
Who is Afraid of Non-Convex Loss Functions?
Yann LeCun
[syn] 240 views, 03:32:45
Online Learning and Bregman Divergences
Manfred K. Warmuth
176 views, 02:42:49
Foundations of Learning
Steve Smale
144 views, 00:32:52
Graph complexity for structure and learning
John Shawe-Taylor
[syn] 80 views, 03:03:31
How to predict with Bayes, MDL, and Experts
Marcus Hutter
[syn] 74 views, 00:45:40
Entropy Properties of a Decision Rule Class in Connection with machine learning abilities
Alexey Chervonenkis
[syn] 74 views, 01:42:36
Generalization bounds
John Langford
68 views, 00:32:55
A Domain Adaptation Formal Framework Addressing the Training/Test Distribution Gap
Shai Ben-David
[syn] 64 views, 03:31:13
Concentration Inequalities with Machine Learning Applications
Stéphane Boucheron
[syn] 60 views, 01:07:34
Exploration - Exploitation for Statistical Software Testing
Michele Sebag
[syn] 50 views, 00:25:34
What is the Optimal Number of Features? A learning theoretic perspective
Amir Navot
39 views, 00:14:50
A Sample-Complexity Analysis of Learning from Labeled and Unlabeled Data
Maria Balcan
24 views, 00:45:40
Presentation of proposed outline challenge
Jason McFall