500 citations · 760 across the 17 of their papers we have counts for
19 papers
The Geometry of Culture: Analyzing Meaning through Word Embeddings
Austin C. Kozlowski, Matt Taddy, James A. Evans
We demonstrate the utility of a new methodological tool, neural-network word embedding models, for large-scale text analysis, revealing how these models produce richer insights int…
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas Mueller, Vasilis Syrgkanis, Matt Taddy
We consider dynamic pricing with many products under an evolving but low-dimensional demand model. Assuming the temporal variation in cross-elasticities exhibits low-rank structure…
Accurate Inference for Adaptive Linear Models
Yash Deshpande, Lester Mackey, Vasilis Syrgkanis +1
Estimators computed from adaptively collected data do not behave like their non-adaptive brethren. Rather, the sequential dependence of the collection policy can lead to severe dis…
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Shyam Upadhyay, Kai-Wei Chang, Matt Taddy +2
Word embeddings, which represent a word as a point in a vector space, have become ubiquitous to several NLP tasks. A recent line of work uses bilingual (two languages) corpora to l…
Counterfactual Prediction with Deep Instrumental Variables Networks
Jason Hartford, Greg Lewis, Kevin Leyton-Brown +1
We are in the middle of a remarkable rise in the use and capability of artificial intelligence. Much of this growth has been fueled by the success of deep learning architectures: m…
Hockey Player Performance via Regularized Logistic Regression
Robert B. Gramacy, Matt Taddy, Sen Tian
A hockey player's plus-minus measures the difference between goals scored by and against that player's team while the player was on the ice. This measures only a marginal effect, f…