Technical Reports by Author
Theses by Author

2013 Series

CMU-ML-13-100
Learning Large-Scale Conditional Random Fields
Joseph K. Bradley, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-101
Probabilistic Models for Collecting, Analyzing, and Modeling Expression Data
Hai-Son Phuoc Le, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-102
Graph Structured Normal Means Inference
James Sharpnack, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-103
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Gregory R. Ganger, Garth Gibson, Eric P. Xing
Abstract, .pdf

CMU-ML-13-104
GraphLab: A Distributed Abstraction for Large Scale Machine Learning
Yucheng Low, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-105
Learning with Sparsity: Structures, Optimzation and Applications
Xi Chen, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-106
Uncovering Structure in High-Dimensions: Networks and Multi-task Learning Problems
Mladen Kolar, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-107
Approximation Algorithms and New Models for Clustering and Learning
Pranjal Awasthi, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-108
Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms
Lucia Castellanos, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-109
Short-Sighted Probabilistic Planning
Felipe W. Trevizan, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-110
Cortical spatiotemporal plasticity in visual category learning
Yang Xu, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-111
Mathematical Theories of Interaction with Oracles
Liu Yang, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-112
Exploiting Non-sequence Data in Dynamic Model Learning
Tzu-Kuo Huang, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-113
On Learning from Collective Data
Liang Xiong, Ph.D. Thesis
Abstract, .pdf

CMU-ML-13-114
Semi-Cooperative Learning in Smart Grid Agents
Prashant P. Reddy, Ph.D. Thesis
Abstract, .pdf

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