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Youngsuk Park

Identifiers

  • name variant Youngsuk Park 0.60 · backfill

Papers (25)

  1. Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models cs.LG · 2026 · author #7
  2. Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs cs.LG · 2025 · author #4
  3. Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs cs.LG · 2025 · author #4
  4. Demystifying Transition Matching: When and Why It Can Beat Flow Matching cs.LG · 2025 · author #4
  5. Training LLMs with MXFP4 cs.LG · 2025 · author #3
  6. Stochastic Rounding for LLM Training: Theory and Practice cs.LG · 2025 · author #3
  7. RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models cs.LG · 2025 · author #6
  8. ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs cs.LG · 2025 · author #4
  9. Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization cs.LG · 2024 · author #8
  10. Inference Optimization of Foundation Models on AI Accelerators cs.AI · 2024 · author #1
  11. Collage: Light-Weight Low-Precision Strategy for LLM Training cs.LG · 2024 · author #7
  12. Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models cs.LG · 2024 · author #2
  13. Testing Causality for High Dimensional Data cs.LG · 2023 · author #3
  14. Adaptive Sampling for Probabilistic Forecasting under Distribution Shift cs.LG · 2023 · author #5
  15. First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting cs.LG · 2022 · author #5
  16. Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms cs.LG · 2022 · author #2
  17. Robust Probabilistic Time Series Forecasting cs.LG · 2022 · author #2
  18. Multivariate Quantile Function Forecaster cs.LG · 2022 · author #4
  19. Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting cs.LG · 2021 · author #1
  20. Variance Reduced Training with Stratified Sampling for Forecasting Models cs.LG · 2021 · author #2
  21. Domain Adaptation for Time Series Forecasting via Attention Sharing cs.LG · 2021 · author #2
  22. Structured Policy Iteration for Linear Quadratic Regulator cs.AI · 2020 · author #1
  23. Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize math.OC · 2019 · author #1
  24. Linear Convergence of Cyclic SAGA math.OC · 2018 · author #1
  25. Network Inference via the Time-Varying Graphical Lasso cs.LG · 2017 · author #2

Mentions

  • 2502.20586 #3 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2502.00258 #4 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2502.09003 #6 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2502.20566 #3 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2412.05244 #8 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2407.09111 #1 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2405.03637 #7 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2404.08080 #2 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2207.09572 #2 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2303.07774 #3 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2302.11870 #5 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2212.08151 #5 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2202.11316 #4 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2102.06828 #2 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2202.11910 #2 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2111.06581 #1 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2103.02062 #2 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2007.06202 #1 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 1810.11167 #1 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 1910.07056 #1 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 1703.01958 #2 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2605.25189 #7 · arxiv_oai · confidence 0.70 Youngsuk Park
  • 2510.17991 #4 · arxiv_oai · confidence 0.70 Youngsuk Park

Frequent Coauthors