Mijung Park
15 papers · 2011–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🔬
Deep Specialist
(10)
🗃️
Keyword Collector
(96)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(12)
Optimization & Theory
(11)
Bayesian & Probabilistic · Artificial Intelligence
(9)
Application Areas
(6)
Core Methods
(5)
Interdisciplinary
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Core AI
(4)
Science
(4)
Deep Learning
(3)
Learning Types
(3)
Healthcare & Medicine
(2)
Security & Privacy
(2)
Differential Privacy
(2)
Keywords
bayesian inference
(10)
variational inference
(6)
differential privacy
(4)
hierarchical model
(3)
active learning
(2)
model compression
(2)
moments accountant
(2)
gaussian process
(2)
probabilistic modeling
(2)
hierarchical prior
(2)
laplace approximation
(2)
receptive field
(2)
posterior distribution
(2)
privacy-preserving learning
(1)
spatio-temporal modeling
(1)
prompt learning
(1)
expectation maximization
(1)
manifold learning
(1)
feature selection
(1)
structure learning
(1)
Papers
Bayesian Principles Improve Prompt Learning In Vision-Language Models
AISTATS 2025
Dirichlet Pruning for Convolutional Neural Networks
AISTATS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
AISTATS 2021
Interpretable and Differentially Private Predictions
AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
Variational Bayes in Private Settings (VIPS) (Extended Abstract)
IJCAI 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)
NeurIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models
NeurIPS 2015
Sparse Bayesian structure learning with “dependent relevance determination” priors
NeurIPS 2014
Bayesian inference for low rank spatiotemporal neural receptive fields
NeurIPS 2013
Bayesian Structure Learning for Functional Neuroimaging
AISTATS 2013
Bayesian active learning with localized priors for fast receptive field characterization
NeurIPS 2012
Active learning of neural response functions with Gaussian processes
NeurIPS 2011