Technical Reports by Author
Theses by Author

2018 Series

CMU-ML-18-100
Learning with Staleness
Wei Dai, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-101
Efficient Methods for Prediction and Control in Partially Observable Environments
Ahmed Hefny, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-102
Neural population activity in the visual cortex: Statistical methods and application
Benjamin R. Cowley, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-103
Sublinear-Time Learning and Inference for High-Dimensional Models
Enxu Yan, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-104
Stress Detection for Keystroke Dynamics
Shing-Hon Lau, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-105
Distribution and Histogram (DIsH) Learning
Junier Bárbaro Oliva, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-106
Diversity-promoting and Large-scale Machine Learning for Healthcare
Pengtao Xie, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-107
Using Machine Learning for Time Series to Elucidate Sentence Processing in the Brain
Nicole S. Rafidi, Ph.D. Thesis
Abstract, .pdf
Unavailable Electronically

CMU-ML-18-108
Representation Learning @ Scale
Manzil Zaheer, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-109
Teaching Machines to Classify from Natural Language Interactions
Shashank Srivastava, Ph.D. Thesis
Abstract, .pdf

CMU-ML-18-110
Tuning Hyperparameters without Grad Students: Scaling up Bandit Optimisation
Kirthevasan Kandasamy, Ph.D. Thesis
Abstract, .pdf

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