Regier, Jeffrey

12 publications

NeurIPS 2024 Globally Convergent Variational Inference Declan McNamara, Jackson Loper, Jeffrey Regier

AISTATS 2024 Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference Declan McNamara, Jackson Loper, Jeffrey Regier

ICML 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference Yash Patel, Declan Mcnamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari

JMLR 2023 Variational Inference for Deblending Crowded Starfields Runjing Liu, Jon D. McAuliffe, Jeffrey Regier, The LSST Dark Energy Science Collaboration

NeurIPSW 2022 Dynamic Survival Transformers for Causal Inference with Electronic Health Records Prayag Chatha, Yixin Wang, Zhenke Wu, Jeffrey Regier

NeurIPS 2022 Normalizing Flows for Knockoff-Free Controlled Feature Selection Derek Hansen, Brian Manzo, Jeffrey Regier

NeurIPS 2020 Decision-Making with Auto-Encoding Variational Bayes Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier

ICML 2019 Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael Jordan, Jon Mcauliffe

NeurIPS 2018 Information Constraints on Auto-Encoding Variational Bayes Romain Lopez, Jeffrey Regier, Michael I Jordan, Nir Yosef

NeurIPS 2018 Stochastic Cubic Regularization for Fast Nonconvex Optimization Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I Jordan

NeurIPS 2017 Fast Black-Box Variational Inference Through Stochastic Trust-Region Optimization Jeffrey Regier, Michael I Jordan, Jon McAuliffe

ICML 2015 Celeste: Variational Inference for a Generative Model of Astronomical Images Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, Mr Prabhat