\ David M. Andrzejewski

David M. Andrzejewski

Applied machine learning and (un)natural language processing.

Technical Talks

Patents and Applications

Alert Response Tool
United States Patent Application (18/055568)
David M. Andrzejewski, Bashyam TCA, Apoorv Garg, Ryley SK Higa, Naveen Ramachandrappa
Clustering of structured log data by key schema
United States Patent (11321158)
Udit Saxena, Reetika Roy, Ryley Higa, David M. Andrzejewski, Bashyam TCA
Clustering of structured log data by key-values
United States Patent (11663066)
Udit Saxena, Reetika Roy, Ryley Higa, David M. Andrzejewski, Bashyam TCA
Cardinality of time series
United States Patent (11182434)
Christian Friedrich Beedgen, David M. Andrzejewski, Weijia Che
Anomaly detection
United States Patent (10445311)
Kumar Saurabh, David M. Andrzejewski, Yuchen Zhao, Christian Friedrich Beedgen, Bruno Kurtic
Data enrichment and augmentation
United States Patent (11397726)
Christian Friedrich Beedgen, David M Andrzejewski, Benjamin Everette Newton, Kumar Avijit, Stefan Christoph Zier
Logs to metrics synthesis
United States Patent (11042534)
Christian Friedrich Beedgen, David M Andrzejewski, Benjamin Everette Newton, Kumar Avijit, Stefan Christoph Zier
Key name synthesis
United States Patent (11481383)
Christian Friedrich Beedgen, David M. Andrzejewski
Visualization Tool For System Tracing Infrastructure Events
United States Patent (8464221)
Alice X. Zheng, Trishul A. Chilimbi, Shuo-Hsien Hsiao, Danyel A. Fisher, David M. Andrzejewski
System and method of drug identification through radio frequency identification (RFID)
United States Patent Application (11/465993)
Ronald Makin, Kyle Jansson, Silas Zirn, David Andrzejewski, Timothy Flink.

Research Papers

PhD Thesis

Incorporating Domain Knowledge in Latent Topic Models
Advised by Mark Craven and Xiaojin (Jerry) Zhu.
Computer Sciences, University of Wisconsin-Madison (2010)
(pdf, slides)

Technical Blogging

My blog
Mostly machine learning.
Sumo Logic Blog
Posts I've written at work about log management, distributed systems, The Cloud, Scala, etc.

Misc Technical Notes

Analysis/Explanation of HDR (High Dynamic Range) Histograms (pdf)
Contrastive Divergence learning for binary Restricted Boltzmann Machines (RBM) (pdf)
Expectation-Maximization (EM) algorithm (pdf)
Online optimization algorithms (pdf)