Youngsuk Park
18 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Prolific Year Β· Productive
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The Questioner
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(6)
Venues
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Research topics
Machine Learning
(15)
Optimization & Theory Β· Machine Learning
(11)
Artificial Intelligence
(6)
Deep Learning
(6)
Data Science & Analytics
(5)
Application Areas
(5)
Core AI
(5)
Methods
(5)
Core Methods
(3)
Models
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Optimization & Theory Β· Deep Learning
(2)
Resources & Methods
(2)
Computer Science
(1)
Keywords
time series forecasting
(5)
variance reduction
(2)
uncertainty quantification
(2)
convergence analysis
(2)
bayesian inference
(2)
pretraining
(2)
randomized smoothing
(2)
mixed precision training
(2)
stochastic rounding
(2)
quantile crossing
(2)
neural network
(2)
probabilistic forecasting
(2)
laplace approximation
(1)
structure learning
(1)
posterior sampling
(1)
adversarial training
(1)
adversarial robustness
(1)
explainable ai
(1)
model-based reinforcement learning
(1)
domain adaptation
(1)
Papers
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
ICML 2025
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
ICML 2025
Stochastic Rounding for LLM Training: Theory and Practice
AISTATS 2025
Training LLMs with MXFP4
AISTATS 2025
Collage: Light-Weight Low-Precision Strategy for LLM Training
ICML 2024
Online Posterior Sampling with a Diffusion Prior
NeurIPS 2024
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
ICML 2024
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
AISTATS 2023
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
ICLR 2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
ICML 2023
Domain Adaptation for Time Series Forecasting via Attention Sharing
ICML 2022
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
AISTATS 2022
Multivariate Quantile Function Forecaster
AISTATS 2022
Robust Probabilistic Time Series Forecasting
AISTATS 2022
Variance Reduced Training with Stratified Sampling for Forecasting Models
ICML 2021
Structured Policy Iteration for Linear Quadratic Regulator
ICML 2020
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields
AISTATS 2017