Technical Reports by Author
Theses by Author

2016 Series

CMU-ML-16-100
Optimzing Optimization: Scalable Convex Programming with Proximal Operators
Matt Wytock, Ph.D. Thesis
Abstract, .pdf

CMU-ML-16-101
Exploring Weakly Labeled Data Across the Noise-Bias Spectrum
Robert W.H. Fisher, Ph.D. Thesis
Abstract, .pdf

CMU-ML-16-102
Supervision Beyond Manual Annotations for Learning Visual Representations
Carl Doersch, Ph.D. Thesis
Abstract, .pdf

CMU-ML-16-103
Expressive Collaborative Music Performance via Machine Learning
Gus (Guangyu) Xia, Ph.D. Thesis
Abstract, .pdf

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