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Poster
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Wed 9:00
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Learning Bound for Parameter Transfer Learning
Wataru Kumagai
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Poster
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Wed 9:00
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The Robustness of Estimator Composition
Pingfan Tang · Jeff M Phillips
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Poster
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Wed 9:00
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Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Pan Zhang
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Poster
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Wed 9:00
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Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely · Roy Frostig · Yoram Singer
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Poster
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Tue 9:00
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Adversarial Multiclass Classification: A Risk Minimization Perspective
Rizal Fathony · Anqi Liu · Kaiser Asif · Brian Ziebart
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Poster
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Wed 9:00
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High Dimensional Structured Superposition Models
Qilong Gu · Arindam Banerjee
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Poster
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Wed 9:00
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Local Similarity-Aware Deep Feature Embedding
Chen Huang · Chen Change Loy · Xiaoou Tang
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Poster
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Mon 9:00
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Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction
Hsiang-Fu Yu · Nikhil Rao · Inderjit Dhillon
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Poster
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Wed 9:00
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Structured Prediction Theory Based on Factor Graph Complexity
Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang
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Poster
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Wed 9:00
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Preference Completion from Partial Rankings
Suriya Gunasekar · Sanmi Koyejo · Joydeep Ghosh
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Poster
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Mon 9:00
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On Regularizing Rademacher Observation Losses
Richard Nock
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Poster
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Mon 9:00
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Learning Transferrable Representations for Unsupervised Domain Adaptation
Ozan Sener · Hyun Oh Song · Ashutosh Saxena · Silvio Savarese
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