Matthew Taddy

According to our database, Matthew Taddy authored at least 14 papers between 2008 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing.

Jonas Mueller, Vasilis Syrgkanis, Matt Taddy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Geometry of Culture: Analyzing Meaning through Word Embeddings.

Austin C. Kozlowski, Matt Taddy, James A. Evans

CoRR, 2018

Accurate Inference for Adaptive Linear Models.

Yash Deshpande, Lester W. Mackey, Vasilis Syrgkanis, Matt Taddy

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs.

Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley

Proceedings of the 26th International Conference on World Wide Web, 2017

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.

Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Deep IV: A Flexible Approach for Counterfactual Prediction.

Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Counterfactual Prediction with Deep Instrumental Variables Networks.

Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy

CoRR, 2016

2015

Bayesian and Empirical Bayesian Forests.

Matthew Taddy, Chun-Sheng Chen, Jun Yu, Mitch Wyle

Proceedings of the 32nd International Conference on Machine Learning, 2015

Document Classification by Inversion of Distributed Language Representations.

Matt Taddy

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Measuring Political Sentiment on Twitter: Factor Optimal Design for Multinomial Inverse Regression.

Matt Taddy

Technometrics, 2013

2012

On Estimation and Selection for Topic Models.

Matt Taddy

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2010

Selection of a Representative Sample.

Herbert K. H. Lee, Matthew Taddy, Genetha A. Gray

J. Classif., 2010

2009

Bayesian Guided Pattern Search for Robust Local Optimization.

Matthew Taddy, Herbert K. H. Lee, Genetha A. Gray, Joshua D. Griffin

Technometrics, 2009

2008

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