Designing and assessing numeracy training for journalists: toward improving quantitative reasoning among media consumers. - Michael Andrew Ranney; Luke F. Rinne; Louise Yarnall; Edward Munnich; Luke Miratrix; Patricia K. Schank (ICLS (2), 2008)

Implementing Risk-Limiting Post-Election Audits in California. - Joseph Lorenzo Hall; Philip B. Stark; Luke Miratrix; Melvin Briones; Elaine Ginnold; Freddie Oakley; Martin Peaden; Gail Pellerin; Tom Stanionis; Tricia Webber (EVT/WOTE, 2009)

Election audits using a trinomial bound. - Luke Miratrix; Philip B. Stark (IEEE Trans. Inf. Forensics Secur., 2009)

Discovering word associations in news media via feature selection and sparse classification. - Brian Gawalt; Jinzhu Jia; Luke Miratrix; Laurent El Ghaoui; Bin Yu 001; Sophie Clavier (Multimedia Information Retrieval, 2010)

Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness. - Katharina Reinecke; Tom Yeh; Luke Miratrix; Rahmatri Mardiko; Yuechen Zhao; Jenny Liu; Krzysztof Z. Gajos (CHI, 2013)

Concise comparative summaries (CCS) of large text corpora with a human experiment. - Jinzhu Jia; Luke Miratrix; Bin Yu 001; Brian Gawalt; Laurent El Ghaoui; Luke Barnesmoore; Sophie Clavier (CoRR, 2014)

Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability. - Luke Miratrix; Robin Ackerman (Stat. Anal. Data Min., 2016)

Promoting Domain-Specific Terms in Topic Models with Informative Priors. - Angela Fan; Finale Doshi-Velez; Luke Miratrix (CoRR, 2017)

Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality. - Reagan Mozer; Luke Miratrix; Aaron Russell Kaufman; L. Jason Anastasopoulos (CoRR, 2018)

Assessing topic model relevance: Evaluation and informative priors. - Angela Fan; Finale Doshi-Velez; Luke Miratrix (Stat. Anal. Data Min., 2019)

Weak Separation in Mixture Models and Implications for Principal Stratification. - Nhat Ho; Avi Feller; Evan Greif; Luke Miratrix; Natesh S. Pillai (AISTATS, 2022)

Leveraging text data for causal inference using electronic health records. - Reagan Mozer; Aaron Russell Kaufman; Leo Anthony Celi; Luke Miratrix (CoRR, 2023)

PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments. - Kristen B. Hunter; Luke Miratrix; Kristin Porter (J. Stat. Softw., 2024)