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math.ST2023
Sensitivity models and bounds under sequential unmeasured confounding in longitudinal studies
Zhiqiang Tan
Consider sensitivity analysis to assess the worst-case possible values of counterfactual outcome means and average treatment effects under sequential unmeasured confounding in a lo…
stat.ML2023
Persistently Trained, Diffusion-assisted Energy-based Models
Xinwei Zhang, Zhiqiang Tan, Zhijian Ou
Maximum likelihood (ML) learning for energy-based models (EBMs) is challenging, partly due to non-convergence of Markov chain Monte Carlo.Several variations of ML learning have bee…