papers
Publications (14)
stat.AP2016
Counterfactual Prediction with Deep Instrumental Variables Networks
Jason Hartford, Greg Lewis, Kevin Leyton-Brown +1
stat.AP2015
A nonparametric Bayesian analysis of heterogeneous treatment effects in digital experimentation
Matt Taddy, Matt Gardner, Liyun Chen +1
stat.AP2015
Causal Inference in Repeated Observational Studies: A Case Study of eBay Product Releases
Vadim von Brzeski, Matt Taddy, David Draper
stat.AP2015
Distributed multinomial regression
Matt Taddy
cs.CL2017
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Shyam Upadhyay, Kai-Wei Chang, Matt Taddy +2
stat.AP2013
Efficiency and Structure in Multinomial Inverse Regression
Matt Taddy
stat.AP2013
Measuring political sentiment on Twitter: factor-optimal design for multinomial inverse regression
Matt Taddy
stat.ME2013
Multinomial Inverse Regression for Text Analysis
Matt Taddy
stat.AP2016
One-step estimator paths for concave regularization
Matt Taddy
stat.AP2016
Hockey Player Performance via Regularized Logistic Regression
Robert B. Gramacy, Matt Taddy, Sen Tian
cs.CL2015
Document Classification by Inversion of Distributed Language Representations
Matt Taddy
stat.AP2015
Bayesian and empirical Bayesian forests
Matt Taddy, Chun-Sheng Chen, Jun Yu +1
stat.AP2013
Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning
Robert B. Gramacy, Matt Taddy, Stefan M. Wild
stat.AP2016
Scalable semiparametric inference for the means of heavy-tailed distributions
Matt Taddy, Hedibert Freitas Lopes, Matt Gardner