Yanzhi Chen
6 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🔥 Unstoppable · Bronze
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The Questioner
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Research topics
Keywords
approximate bayesian computation
(2)
implicit model
(2)
sufficient statistics
(2)
likelihood-free inference
(2)
mutual information
(2)
function approximation
(1)
adversarial training
(1)
evaluation framework
(1)
prior knowledge
(1)
posterior inference
(1)
gaussian copula
(1)
adversarial attack
(1)
disentangled representation
(1)
gradient attack
(1)
white-box attack
(1)
summary statistic
(1)
model inversion
(1)
large language model
(1)
sequential method
(1)
infomin learning
(1)
Papers
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework
COLING 2025
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
ICML 2023
Scalable Infomin Learning
NeurIPS 2022
Neural Approximate Sufficient Statistics for Implicit Models
ICLR 2021
On Breaking Deep Generative Model-based Defenses and Beyond
ICML 2020
Adaptive Gaussian Copula ABC
AISTATS 2019