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Du Phan
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2020 – today
- 2024
- [c5]Martin Jankowiak, Du Phan:
Reparameterized Variational Rejection Sampling. AISTATS 2024: 739-747 - 2023
- [c4]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. EMNLP (Findings) 2023: 2980-2992 - [c3]Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang:
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR 2023 - [c2]Matthew Douglas Hoffman, Du Phan, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous:
Training Chain-of-Thought via Latent-Variable Inference. NeurIPS 2023 - [i7]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. CoRR abs/2304.08653 (2023) - [i6]Martin Jankowiak, Du Phan:
Reparameterized Variational Rejection Sampling. CoRR abs/2309.14612 (2023) - [i5]Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous:
Training Chain-of-Thought via Latent-Variable Inference. CoRR abs/2312.02179 (2023) - 2022
- [c1]Martin Jankowiak, Du Phan:
Surrogate Likelihoods for Variational Annealed Importance Sampling. ICML 2022: 9881-9901 - [i4]Dustin Tran, Jeremiah Z. 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:
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR abs/2207.07411 (2022) - 2021
- [i3]Martin Jankowiak, Du Phan:
Surrogate Likelihoods for Variational Annealed Importance Sampling. CoRR abs/2112.12194 (2021)
2010 – 2019
- 2019
- [j1]Hwijae Son, C. Hyun, Du Phan, Hyung Ju Hwang
:
Data analytic approach for bankruptcy prediction. Expert Syst. Appl. 138 (2019) - [i2]Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen:
Functional Tensors for Probabilistic Programming. CoRR abs/1910.10775 (2019) - [i1]Du Phan, Neeraj Pradhan, Martin Jankowiak:
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro. CoRR abs/1912.11554 (2019)
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