Technical Reports by Author
Theses by Author

2017 Series

CMU-ML-17-100
Why Machine Learning Works
George D. Montañez, Ph.D. Thesis
Abstract, .pdf

CMU-ML-17-101
Active Search with Complex Actions and Rewards
Yifei Ma, Ph.D. Thesis
Abstract, .pdf

CMU-ML-17-102
New Optimization Methods for Modern Machine Learning
Sashank J. Reddi, Ph.D. Thesis
Abstract, .pdf

CMU-ML-17-103
Dynamic Question Ordering: Obtaining Useful Information While Reducing User Burden
Kirstin Early, Ph.D. Thesis
Abstract, .pdf

CMU-ML-17-104
Statistical Approach for Functionally Validating Transcription Factor Bindings Using Population SNP and Gene Expression Data
Jing Xiang, Ph.D. Thesis
Abstract, .pdf

CMU-ML-17-105
New Paradigms and Optimality Guarantees in Statistical Learning and Estimation
Yu-Xiang Wang, Ph.D. Thesis
Abstract, .pdf

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