MACHINE LEARNING TECHNICAL REPORTS 2019
School of Computer Science, Carnegie Mellon University
Pittsburgh PA 15213-3891
412.268.1299 . 412.268.5576 (fax)


Technical Reports by Author
Theses by Author


2019 Series

CMU-ML-19-100
Anomaly Detection in Graphs and Time Series: Algorithms and Applications
Bryan Hooi, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-101
Selective Data Acquisition in Learning and Decision Making Problems
Yining Wang, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-102
Gradient Descent for Non-convex Problems in Modern Machine Learning
Simon Shaolei Du, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-103
New Advances in Sparse Learning, Deep Networks, and Adversarial Learning: Theory and Applications
Hongyang Zhang, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-104
Nonparametric Methods with Total Variation Type Regularization
Veeranjaneyulu Sadhanala, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-105
Statistical and Computational Properties of Some "User-Friendly" Methods for High-Dimensional Estimation
Alnur Ali, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-106
Anytime Prediction and Learning for the Balance between Computation and Accuracy
Hanzhang Hu, Ph.D. Thesis
Abstract, .pdf

CMU-ML-19-107
Unavailable to Date

CMU-ML-19-108
Learning Gene Networks Underlying Clinical Phenotypes Under SNP Perturbations From Genome-Wide Data
Calvin McCarter, Ph.D. Thesis
Abstract, .pdf


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