Search Results for author: Alexander Volfovsky

Found 8 papers, 5 papers with code

Author Clustering and Topic Estimation for Short Texts

1 code implementation15 Jun 2021 Graham Tierney, Christopher Bail, Alexander Volfovsky

Analysis of short text, such as social media posts, is extremely difficult because it relies on observing many document-level word co-occurrence pairs.


Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation

1 code implementation3 Mar 2020 Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

We propose a matching method for observational data that matches units with others in unit-specific, hyper-box-shaped regions of the covariate space.

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference

no code implementations2 Mar 2020 M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

We propose a matching method that recovers direct treatment effects from randomized experiments where units are connected in an observed network, and units that share edges can potentially influence each others' outcomes.

Interpretable Almost-Matching-Exactly With Instrumental Variables

1 code implementation27 Jun 2019 M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Uncertainty in the estimation of the causal effect in observational studies is often due to unmeasured confounding, i. e., the presence of unobserved covariates linking treatments and outcomes.

Interpretable Almost Matching Exactly for Causal Inference

3 code implementations18 Jun 2018 Yameng Liu, Aw Dieng, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Notable advantages of our method over existing matching procedures are its high-quality matches, versatility in handling different data distributions that may have irrelevant variables, and ability to handle missing data by matching on as many available covariates as possible.

Causal Inference

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference

no code implementations19 Jul 2017 Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

In this work, we propose a method that computes high quality almost-exact matches for high-dimensional categorical datasets.

Causal Inference

Analyzing statistical and computational tradeoffs of estimation procedures

no code implementations25 Jun 2015 Daniel L. Sussman, Alexander Volfovsky, Edoardo M. Airoldi

The recent explosion in the amount and dimensionality of data has exacerbated the need of trading off computational and statistical efficiency carefully, so that inference is both tractable and meaningful.

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