Mijung Park
15 papers · 2011–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
๐ Interdisciplinary Bridge ๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Conference Polyglot (4) ๐ Academic Marathon (14)
๐
Academic Marathon
(14)
๐ฃ
Hot Topic Early Bird
๐
Cross-Pollinator
(15)
๐
Keyword Champion
(2)
๐๏ธ
Keyword Collector
(85)
๐
Century Club
(15)
๐ฅ
Unstoppable
(7)
๐
Trend Setter
Conferences
AISTATS (6)
NIPS (6)
AAAI (2)
IJCAI (1)
Top co-authors
Research topics
Keywords
bayesian inference
(9)
variational inference
(6)
differential privacy
(4)
hierarchical model
(3)
active learning
(2)
gaussian process
(2)
receptive field
(2)
model compression
(2)
probabilistic modeling
(2)
moments accountant
(2)
hierarchical prior
(2)
posterior distribution
(2)
markov chain monte carlo
(1)
synthetic data generation
(1)
privacy-preserving learning
(1)
expectation maximization
(1)
manifold learning
(1)
feature selection
(1)
structure learning
(1)
laplace approximation
(1)
Papers
Bayesian Principles Improve Prompt Learning In Vision-Language Models
AISTATS 2025
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
AISTATS 2021
Dirichlet Pruning for Convolutional Neural Networks
AISTATS 2021
Variational Bayes in Private Settings (VIPS) (Extended Abstract)
IJCAI 2020
Interpretable and Differentially Private Predictions
AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
DP-EM: Differentially Private Expectation Maximization
AISTATS 2017
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
AISTATS 2016
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
NIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models
NIPS 2015
Sparse Bayesian structure learning with โdependent relevance determinationโ priors
NIPS 2014
Bayesian inference for low rank spatiotemporal neural receptive fields
NIPS 2013
Bayesian Structure Learning for Functional Neuroimaging
AISTATS 2013
Bayesian active learning with localized priors for fast receptive field characterization
NIPS 2012
Active learning of neural response functions with Gaussian processes
NIPS 2011