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Tue Dec 09 05:20 PM -- 05:21 PM (PST)
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
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Tue Dec 09 05:21 PM -- 05:22 PM (PST)
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
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Tue Dec 09 05:23 PM -- 05:24 PM (PST)
On the Generalization Ability of Online Strongly Convex Programming Algorithms
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Tue Dec 09 05:24 PM -- 05:25 PM (PST)
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
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Tue Dec 09 05:25 PM -- 05:26 PM (PST)
Sparse Online Learning via Truncated Gradient
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Tue Dec 09 05:26 PM -- 05:27 PM (PST)
On the Efficient Minimization of Classification Calibrated Surrogates
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Tue Dec 09 05:27 PM -- 05:28 PM (PST)
Exact Convex Confidence-Weighted Learning
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Tue Dec 09 05:28 PM -- 05:29 PM (PST)
Breaking Audio CAPTCHAs with Machine Learning Techniques
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Tue Dec 09 05:29 PM -- 05:30 PM (PST)
Nonlinear causal discovery with additive noise models
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Tue Dec 09 05:30 PM -- 05:31 PM (PST)
Sequential effects: Superstition or rational behavior?
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