A Statistical Framework for the Sensitivity Analysis of Radiative Transfer Models. - Robin D. Morris; Athanasios Kottas; Matthew Taddy; Roberto Furfaro; Barry D. Ganapol (IEEE Trans. Geosci. Remote. Sens., 2008)

Bayesian Guided Pattern Search for Robust Local Optimization. - Matthew Taddy; Herbert K. H. Lee; Genetha A. Gray; Joshua D. Griffin (Technometrics, 2009)

Selection of a Representative Sample. - Herbert K. H. Lee; Matthew Taddy; Genetha A. Gray (J. Classif., 2010)

On Estimation and Selection for Topic Models. - Matt Taddy (AISTATS, 2012)

Measuring Political Sentiment on Twitter: Factor Optimal Design for Multinomial Inverse Regression. - Matt Taddy (Technometrics, 2013)

Document Classification by Inversion of Distributed Language Representations. - Matt Taddy (ACL (2), 2015)

Bayesian and Empirical Bayesian Forests. - Matthew Taddy; Chun-Sheng Chen; Jun Yu; Mitch Wyle (ICML, 2015)

Counterfactual Prediction with Deep Instrumental Variables Networks. - Jason S. Hartford; Greg Lewis; Kevin Leyton-Brown; Matt Taddy (CoRR, 2016)

Deep IV: A Flexible Approach for Counterfactual Prediction. - Jason S. Hartford; Greg Lewis; Kevin Leyton-Brown; Matt Taddy (ICML, 2017)

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. - Shyam Upadhyay; Kai-Wei Chang; Matt Taddy; Adam Kalai; James Y. Zou (Rep4NLP@ACL, 2017)

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. - Mengting Wan; Di Wang 003; Matthew Goldman; Matt Taddy; Justin Rao; Jie Liu 001; Dimitrios Lymberopoulos; Julian J. McAuley (WWW, 2017)

Accurate Inference for Adaptive Linear Models. - Yash Deshpande; Lester W. Mackey; Vasilis Syrgkanis; Matt Taddy (ICML, 2018)

The Geometry of Culture: Analyzing Meaning through Word Embeddings. - Austin C. Kozlowski; Matt Taddy; James A. Evans (CoRR, 2018)

Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing. - Jonas Mueller 001; Vasilis Syrgkanis; Matt Taddy (NeurIPS, 2019)