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Du Phan

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Training Chain-of-Thought via Latent-Variable Inference

Nov 28, 2023
Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

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Reparameterized Variational Rejection Sampling

Sep 26, 2023
Martin Jankowiak, Du Phan

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On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study

Apr 17, 2023
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Liu

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Plex: Towards Reliability using Pretrained Large Model Extensions

Jul 15, 2022
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

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Surrogate Likelihoods for Variational Annealed Importance Sampling

Dec 22, 2021
Martin Jankowiak, Du Phan

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Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Dec 24, 2019
Du Phan, Neeraj Pradhan, Martin Jankowiak

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Functional Tensors for Probabilistic Programming

Oct 23, 2019
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen

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