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08/30/2023
Sensitivity models and bounds under sequential unmeasured confounding in longitudinal studies
Consider sensitivity analysis to assess the worst-case possible values o...
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04/21/2023
Persistently Trained, Diffusion-assisted Energy-based Models
Maximum likelihood (ML) learning for energy-based models (EBMs) is chall...
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04/20/2023
Understanding Accelerated Gradient Methods: Lyapunov Analyses and Hamiltonian Assisted Interpretations
We formulate two classes of first-order algorithms more general than pre...
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10/20/2022
Block-wise Primal-dual Algorithms for Large-scale Doubly Penalized ANOVA Modeling
For multivariate nonparametric regression, doubly penalized ANOVA modeli...
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09/23/2022
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation
Consider sensitivity analysis for estimating average treatment effects u...
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01/25/2022
Imputation Maximization Stochastic Approximation with Application to Generalized Linear Mixed Models
Generalized linear mixed models are useful in studying hierarchical data...
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01/23/2022
High-dimensional model-assisted inference for treatment effects with multi-valued treatments
Consider estimation of average treatment effects with multi-valued treat...
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12/24/2021
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models
Consider the problem of simultaneous estimation of location and variance...
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06/06/2021
On Irreversible Metropolis Sampling Related to Langevin Dynamics
There has been considerable interest in designing Markov chain Monte Car...
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12/07/2020
Consistent and robust inference in hazard probability and odds models with discrete-time survival data
For discrete-time survival data, conditional likelihood inference in Cox...
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09/25/2020
Doubly Robust Semiparametric Inference Using Regularized Calibrated Estimation with High-dimensional Data
Consider semiparametric estimation where a doubly robust estimating func...
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09/19/2020
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables
Consider the problem of estimating the local average treatment effect wi...
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05/17/2020
Hamiltonian Assisted Metropolis Sampling
Various Markov chain Monte Carlo (MCMC) methods are studied to improve u...
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05/17/2020
On loss functions and regret bounds for multi-category classification
We develop new approaches in multi-class settings for constructing prope...
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11/25/2019
Analysis of odds, probability, and hazard ratios: From 2 by 2 tables to two-sample survival data
Analysis of 2 by 2 tables and two-sample survival data has been widely u...
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06/19/2019
Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models
Consider semi-supervised learning for classification, where both labeled...
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06/16/2019
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression
For multivariate nonparametric regression, functional analysis-of-varian...
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01/26/2019
On doubly robust estimation for logistic partially linear models
Consider a logistic partially linear model, in which the logit of the me...
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08/11/2018
Improved Methods for Moment Restriction Models with Marginally Incompatible Data Combination and an Application to Two-sample Instrumental Variable Estimation
Combining information from multiple samples is often needed in biomedica...
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08/04/2018
Improved Estimation of Average Treatment Effects on the Treated: Local Efficiency, Double Robustness, and Beyond
Estimation of average treatment effects on the treated (ATT) is an impor...
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01/30/2018