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12/25/2022
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Latent factor model estimation typically relies on either using domain k...
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08/01/2022
Bring the BitCODE – Moving Compute and Data in Distributed Heterogeneous Systems
In this paper, we present a framework for moving compute and data betwee...
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03/12/2022
Distributed Community Detection in Large Networks
Community detection for large networks is a challenging task due to the ...
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03/04/2022
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data
A treatment regime is a rule that assigns a treatment to patients based ...
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02/25/2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Machine learning has become more important in real-life decision-making ...
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01/17/2022
Targeted Optimal Treatment Regime Learning Using Summary Statistics
Personalized decision-making, aiming to derive optimal individualized tr...
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11/17/2021
Jump Interval-Learning for Individualized Decision Making
An individualized decision rule (IDR) is a decision function that assign...
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11/06/2021
A Probit Tensor Factorization Model For Relational Learning
With the proliferation of knowledge graphs, modeling data with complex m...
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10/12/2021
UCX Programming Interface for Remote Function Injection and Invocation
Network library APIs have historically been developed with the emphasis ...
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10/11/2021
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search
Personalized medicine, a paradigm of medicine tailored to a patient's ch...
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09/02/2021
Online Testing of Subgroup Treatment Effects Based on Value Difference
Online A/B testing plays a critical role in the high-tech industry to gu...
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07/10/2021
On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
When to initiate treatment on patients is an important problem in many m...
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04/21/2021
GEAR: On Optimal Decision Making with Auxiliary Data
Personalized optimal decision making, finding the optimal decision rule ...
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04/21/2021
Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
We consider the optimal decision-making problem in a primary sample of i...
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10/29/2020
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space
We consider off-policy evaluation (OPE) in continuous action domains, su...
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10/14/2020
Statistical Inference for Online Decision Making via Stochastic Gradient Descent
Online decision making aims to learn the optimal decision rule by making...
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10/14/2020
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Online decision-making problem requires us to make a sequence of decisio...
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07/19/2020
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
In this article, we propose novel structural nested models to estimate c...
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07/19/2020
Kernel Assisted Learning for Personalized Dose Finding
An individualized dose rule recommends a dose level within a continuous ...
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02/09/2020
A New Framework for Online Testing of Heterogeneous Treatment Effect
We propose a new framework for online testing of heterogeneous treatment...
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02/05/2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
The Markov assumption (MA) is fundamental to the empirical validity of r...
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06/16/2018
Post-Lasso Inference for High-Dimensional Regression
Among the most popular variable selection procedures in high-dimensional...
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11/13/2017
MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model
Logistic linear mixed model is widely used in experimental designs and g...
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10/15/2017
Efficient Estimation for Dimension Reduction with Censored Data
We propose a general index model for survival data, which generalizes ma...
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10/15/2015
Robust Learning for Optimal Treatment Decision with NP-Dimensionality
In order to identify important variables that are involved in making opt...
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05/20/2014