Du Phan
5 papers · 2022–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
📈
Trend Setter
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Models
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic
(2)
Core AI
(2)
Applications
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Keywords
markov chain monte carlo
(2)
variational inference
(2)
chain-of-thought reasoning
(1)
semantic parsing
(1)
text summarization
(1)
expectation maximization
(1)
posterior sampling
(1)
importance sampling
(1)
approximate bayesian inference
(1)
probabilistic programming
(1)
posterior approximation
(1)
reparameterization gradient
(1)
normalizing flow
(1)
supervised fine-tuning
(1)
uncertainty calibration
(1)
expected calibration error
(1)
rejection sampling
(1)
predictive uncertainty
(1)
surrogate likelihood
(1)
seq2seq model
(1)
Papers
Reparameterized Variational Rejection Sampling
AISTATS 2024
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
ICLR 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
EMNLP 2023
Training Chain-of-Thought via Latent-Variable Inference
NeurIPS 2023
Surrogate Likelihoods for Variational Annealed Importance Sampling
ICML 2022