Kuang, Zhaobin

9 publications

TMLR 2025 Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models Sinong Geng, Houssam Nassif, Zhaobin Kuang, Anders Max Reppen, K. Ronnie Sircar

ICMLW 2023 Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models Sinong Geng, Houssam Nassif, Zhaobin Kuang, Anders Max Reppen, K. Ronnie Sircar

AISTATS 2022 Firebolt: Weak Supervision Under Weaker Assumptions Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia Desalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang

AISTATS 2020 Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Re

UAI 2018 Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page

ICML 2018 Temporal Poisson Square Root Graphical Models Sinong Geng, Zhaobin Kuang, Peggy Peissig, David Page

NeurIPS 2017 A Screening Rule for L1-Regularized Ising Model Estimation Zhaobin Kuang, Sinong Geng, David Page

MLHC 2017 Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data Yujia Bao, Zhaobin Kuang, Peggy Peissig, David Page, Rebecca Willett

IJCAI 2016 Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page