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Matt Taddy · SciRah

Researcher profile · Semantic Scholar

Matt Taddy

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Matt Taddy — researcher profile on SciRah

h-index: 27
Works: 58
Citations: 5,014

Most-cited papers

Text as Data
M. Gentzkow, Bryan T. Kelly, Matt Taddy
2017Journal of Economic Literature1,174 citations Open access
Semantic Scholar
The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings
Austin C. Kozlowski, Matt Taddy, James A. Evans
2018American Sociological Review560 citations Open access
Semantic Scholar
Measuring Technological Innovation over the Long Run
Bryan T. Kelly, D. Papanikolaou, Amit Seru, Matt Taddy
2018392 citations Open access
Semantic Scholar
Deep IV: A Flexible Approach for Counterfactual Prediction
Jason S. Hartford, G. Lewis, Kevin Leyton-Brown, Matt Taddy
2017International Conference on Machine Learning370 citations
Semantic Scholar
Measuring Group Differences in High‐Dimensional Choices: Method and Application to Congressional Speech
M. Gentzkow, Jesse M. Shapiro, Matt Taddy
2019Econometrica296 citations
Semantic Scholar
Multinomial Inverse Regression for Text Analysis
Matt Taddy
2010275 citations Open access
Semantic Scholar
On Estimation and Selection for Topic Models
Matt Taddy
2011International Conference on Artificial Intelligence and Statistics220 citations
Semantic Scholar
Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models
R. Gramacy, Matt Taddy
2010162 citations Open access
Semantic Scholar
Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech
M. Gentzkow, Jesse M. Shapiro, Matt Taddy
2016146 citations
Semantic Scholar
A Bayesian Nonparametric Approach to Inference for Quantile Regression
Matt Taddy, A. Kottas
2010139 citations
Semantic Scholar
Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime
Matt Taddy
201094 citations
Semantic Scholar
Bayesian Guided Pattern Search for Robust Local Optimization
Matt Taddy, Herbert K. H. Lee, G. A. Gray, J. Griffin
2009Technometrics93 citations
Semantic Scholar
Document Classification by Inversion of Distributed Language Representations
Matt Taddy
2015Annual Meeting of the Association for Computational Linguistics78 citations Open access
Semantic Scholar
Distributed multinomial regression
Matt Taddy
2013Law, Economics, & Business Workshop78 citations Open access
Semantic Scholar
Particle learning for general mixtures
Carlos M. Carvalho, H. Lopes, Nicholas G. Polson, Matt Taddy
201077 citations Open access
Semantic Scholar
Accurate Inference for Adaptive Linear Models
Y. Deshpande, L. Mackey, Vasilis Syrgkanis, Matt Taddy
2017International Conference on Machine Learning74 citations
Semantic Scholar
Estimating player contribution in hockey with regularized logistic regression
R. Gramacy, Shane T. Jensen, Matt Taddy
201273 citations Open access
Semantic Scholar
Mixture Modeling for Marked Poisson Processes
Matt Taddy, A. Kottas
201073 citations Open access
Semantic Scholar
Heterogeneous Treatment Effects in Digital Experimentation
Matt Taddy, Matt Gardner, Liyun Chen, D. Draper
201467 citations
Semantic Scholar
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs
Mengting Wan, Di Wang, Matt Goldman, Matt Taddy +4 more
2017The Web Conference64 citations Open access
Semantic Scholar
Measuring Political Sentiment on Twitter: Factor Optimal Design for Multinomial Inverse Regression
Matt Taddy
2012Technometrics55 citations Open access
Semantic Scholar
Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels
V. Chernozhukov, Matt Goldman, Vira Semenova, Matt Taddy
201751 citations
Semantic Scholar
Counterfactual Prediction with Deep Instrumental Variables Networks
Jason S. Hartford, G. Lewis, Kevin Leyton-Brown, Matt Taddy
2016arXiv.org48 citations
Semantic Scholar
Low-rank Bandit Methods for High-dimensional Dynamic Pricing
Jonas W. Mueller, Vasilis Syrgkanis, Matt Taddy
2018Neural Information Processing Systems37 citations
Semantic Scholar
Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning
R. Gramacy, Matt Taddy, Stefan M. Wild
201137 citations Open access
Semantic Scholar
Bayesian and Empirical Bayesian Forests
Matt Taddy, Chun-Sheng Chen, Jun Yu, Mitch Wyle
2015International Conference on Machine Learning36 citations
Semantic Scholar
Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence
Vira Semenova, Matt Goldman, V. Chernozhukov, Matt Taddy
2023Quantitative Economics32 citations Open access
Semantic Scholar
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, A. Kalai +1 more
2017Rep4NLP@ACL27 citations Open access
Semantic Scholar
The Gamma Lasso
Matt Taddy
201326 citations
Semantic Scholar
Markov switching Dirichlet process mixture regression
Matt Taddy, A. Kottas
200925 citations Open access
Semantic Scholar
A Statistical Framework for the Sensitivity Analysis of Radiative Transfer Models
R. Morris, A. Kottas, Matt Taddy, R. Furfaro +1 more
2008IEEE Transactions on Geoscience and Remote Sensing23 citations
Semantic Scholar
Estimation and Inference about Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels.
Vira Semenova, Matt Goldman, V. Chernozhukov, Matt Taddy
201721 citations
Semantic Scholar
Bayesian nonparametric analysis of conditional distributions and inference for Poisson point processes
Matt Taddy
200818 citations
Semantic Scholar
Selection of a Representative Sample
Herbert K. H. Lee, Matt Taddy, G. A. Gray
2010Journal of Classification11 citations
Semantic Scholar
A Gaussian Process Approach to Quantifying the Uncertainty of Vegetation Parameters from Remote Sensing Observations
R. Furfaro, R. Morris, A. Kottas, Matt Taddy +1 more
200610 citations
Semantic Scholar
Hockey Player Performance via Regularized Logistic Regression
R. Gramacy, Matt Taddy, Sen Tian
20158 citations
Semantic Scholar
A Nonparametric Model-based Approach to Inference for Quantile Regression
Matt Taddy, A. Kottas
20088 citations
Semantic Scholar
Causal Inference in Repeated Observational Studies: A Case Study of eBay Product Releases
Vadim von Brzeski, Matt Taddy, D. Draper
20157 citations
Semantic Scholar
Bayesian GMM ∗
Bayesian Gmm, Minchul Shin, Lorenzo Braccini, S. Chib +11 more
20147 citations
Semantic Scholar
Rejoinder: Efficiency and Structure in MNIR
Matt Taddy
20137 citations
Semantic Scholar
Fast inference for statistical inverse problems
Matt Taddy, Herbert K. H. Lee, B. Sansó
20096 citations
Semantic Scholar
Proceedings of the Fifth Workshop on Teaching NLP
David Jurgens, V. Kolhatkar, Lucy Li, Margot Mieskes +496 more
20215 citations Open access
Semantic Scholar
The Technological Elements of Artiﬁ cial Intelligence
Matt Taddy
20205 citations
Semantic Scholar
Enhancing Parallel Pattern Search Optimization with a Gaussian Process Oracle
G. A. Gray, Monica Martinez-Canales, Herbert K. H. Lee, Matt Taddy +1 more
20065 citations
Semantic Scholar
Fast Bayesian Inference for Computer Simulation Inverse Problems
Matt Taddy, Herbert K. H. Lee, B. Sansó
20084 citations
Semantic Scholar
Model-based approaches to nonparametric Bayesian quantile regression
A. Kottas, M. Krnjajić, Matt Taddy
20074 citations
Semantic Scholar
HOPSPACK: Hybrid Optimization Parallel Search Package.
G. A. Gray, T. Kolda, J. Griffin, Matt Taddy +1 more
20083 citations Open access
Semantic Scholar
Semi-parametric inference for the means of heavy-tailed distributions
Matt Taddy, H. Lopes, Matt Gardner
20162 citations
Semantic Scholar
Design and Analysis of a Text Mining Experiment
Matt Taddy
20122 citations
Semantic Scholar
Penetrator reliability investigation and design exploration : from conventional design processes to innovative uncertainty-capturing algorithms.
Monica Martinez-Canales, R. Heaphy, R. Gramacy, Matt Taddy +7 more
20062 citations Open access
Semantic Scholar

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