Statistics – Machine Learning
Scientist
Statistics
Machine Learning
Scientist
Purdue University
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
Faster Rates for training Max-Margin Markov Networks
Lower Bounds for BMRM and Faster Rates for Training SVMs
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