Alexander Volfovsky

According to our database1, Alexander Volfovsky authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Safe and Interpretable Estimation of Optimal Treatment Regimes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Estimating Trustworthy and Safe Optimal Treatment Regimes.
CoRR, 2023

A Double Machine Learning Approach to Combining Experimental and Observational Data.
CoRR, 2023

From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference.
CoRR, 2023

Variable importance matching for causal inference.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Experimental Designs for Heteroskedastic Variance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
MALTS: Matching After Learning to Stretch.
J. Mach. Learn. Res., 2022

Neighborhood Adaptive Estimators for Causal Inference under Network Interference.
CoRR, 2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR, 2022

2021
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.
J. Mach. Learn. Res., 2021

Author Clustering and Topic Estimation for Short Texts.
CoRR, 2021

dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference.
CoRR, 2021

2020
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Interpretable Almost Matching Exactly With Instrumental Variables.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

The Geometry of Community Detection via the MMSE Matrix.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Interpretable Almost-Exact Matching for Causal Inference.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

SMOGS: Social Network Metrics of Game Success.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference.
CoRR, 2018

2017
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.
CoRR, 2017

2016
Networks.
Proceedings of the Handbook of Big Data., 2016

2013
Likelihoods for fixed rank nomination networks.
Netw. Sci., 2013


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