Yanzhi Chen
6 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (6) 🌉 Interdisciplinary Bridge
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The Questioner
🔥
Unstoppable
(5)
Conferences
ICML (2)
AISTATS (1)
COLING (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
representation learning
(1)
algorithmic fairness
(1)
bayesian learning
(1)
bayesian inference
(1)
function approximation
(1)
likelihood-free inference
(1)
adversarial training
(1)
evaluation framework
(1)
prior knowledge
(1)
mutual information
(1)
posterior inference
(1)
gaussian copula
(1)
approximate bayesian computation
(1)
adversarial attack
(1)
disentangled representation
(1)
gradient attack
(1)
implicit model
(1)
sufficient statistics
(1)
white-box attack
(1)
summary statistic
(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
NIPS 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