Xuechen Li
13 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(6)
💎
Century Club
(13)
🔥
Unstoppable
(7)
❓
The Questioner
(2)
Conferences
ICLR (3)
ICML (3)
NIPS (3)
AISTATS (2)
ACL (1)
JMLR (1)
Top co-authors
Keywords
stochastic differential equation
(3)
variational autoencoder
(2)
differential privacy
(2)
stochastic variational inference
(2)
mutual information
(1)
gradient computation
(1)
intellectual property
(1)
posterior approximation
(1)
time series
(1)
high-dimensional optimization
(1)
amortized inference
(1)
latent variable model
(1)
disentangled representation
(1)
foundation model
(1)
excess risk bound
(1)
markov chain monte carlo
(1)
bayesian neural network
(1)
total correlation
(1)
privacy leakage
(1)
wasserstein distance
(1)
Papers
Linguistic Calibration of Long-Form Generations
ICML 2024
Foundation Models and Fair Use
JMLR 2023
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
ACL 2023
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
ICLR 2023
When Does Differentially Private Learning Not Suffer in High Dimensions?
NIPS 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
AISTATS 2022
Large Language Models Can Be Strong Differentially Private Learners
ICLR 2022
When does preconditioning help or hurt generalization?
ICLR 2021
Neural SDEs as Infinite-Dimensional GANs
ICML 2021
Scalable Gradients for Stochastic Differential Equations
AISTATS 2020
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
NIPS 2019
Inference Suboptimality in Variational Autoencoders
ICML 2018
Isolating Sources of Disentanglement in Variational Autoencoders
NIPS 2018