Functional Tensors for Probabilistic Programming. - Fritz Obermeyer; Eli Bingham; Martin Jankowiak; Du Phan; Jonathan P. Chen (CoRR, 2019)

Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro. - Du Phan; Neeraj Pradhan; Martin Jankowiak (CoRR, 2019)

Data analytic approach for bankruptcy prediction. - Hwijae Son; C. Hyun; Du Phan; Hyung Ju Hwang (Expert Syst. Appl., 2019)

Surrogate Likelihoods for Variational Annealed Importance Sampling. - Martin Jankowiak; Du Phan (ICML, 2022)

Plex: Towards Reliability using Pretrained Large Model Extensions. - Dustin Tran; Jeremiah Z. Liu; Michael W. Dusenberry; Du Phan; Mark Collier; Jie Ren 006; Kehang Han; Zi Wang; Zelda Mariet; Huiyi Hu; Neil Band; Tim G. J. Rudner; et al. (CoRR, 2022)

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. - Polina Zablotskaia; Du Phan; Joshua Maynez; Shashi Narayan; Jie Ren 006; Jeremiah Z. Liu (EMNLP (Findings), 2023)

On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. - Zi Lin; Du Phan; Panupong Pasupat; Jeremiah Zhe Liu; Jingbo Shang (ICLR, 2023)

Training Chain-of-Thought via Latent-Variable Inference. - Matthew Douglas Hoffman; Du Phan; David Dohan; Sholto Douglas; Tuan Anh Le; Aaron Parisi; Pavel Sountsov; Charles Sutton; Sharad Vikram; Rif A. Saurous (NeurIPS, 2023)

Reparameterized Variational Rejection Sampling. - Martin Jankowiak; Du Phan (AISTATS, 2024)