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Lulu Kang

Identifiers

  • name variant Lulu Kang 0.60 · backfill

Papers (25)

  1. SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models cs.LG · 2026 · author #4
  2. Robust and Sparse Generalized Linear Models for High-Dimensional Data via Maximum Mean Discrepancy stat.ME · 2026 · author #2
  3. Robust Analysis for Resilient AI System stat.AP · 2025 · author #3
  4. Active Learning for Manifold Gaussian Process Regression stat.ML · 2025 · author #2
  5. Design of Experiments for Emulations: A Selective Review from a Modeling Perspective stat.ME · 2025 · author #2
  6. Accelerating Particle-based Energetic Variational Inference stat.ML · 2025 · author #2
  7. Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input cs.LG · 2025 · author #1
  8. Collaborative Design of Controlled Experiments in the Presence of Subject Covariates stat.ME · 2024 · author #3
  9. Collaborative Analysis for Paired A/B Testing Experiments stat.ME · 2024 · author #2
  10. Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency cs.LG · 2024 · author #3
  11. Energetic Variational Gaussian Process Regression for Computer Experiments stat.ME · 2023 · author #1
  12. Learned Mappings for Targeted Free Energy Perturbation between Peptide Conformations cond-mat.stat-mech · 2023 · author #2
  13. Bayesian D-Optimal Design of Experiments with Quantitative and Qualitative Responses stat.ME · 2023 · author #1
  14. Sampling Constrained Continuous Probability Distributions: A Review stat.CO · 2022 · author #2
  15. A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel stat.ML · 2021 · author #3
  16. A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses stat.ME · 2021 · author #2
  17. Fair and Diverse Allocation of Scarce Resources math.OC · 2020 · author #2
  18. Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses stat.ME · 2020 · author #3
  19. Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection stat.ME · 2020 · author #2
  20. A Maximin $\Phi_{p}$-Efficient Design for Multivariate GLM stat.ME · 2020 · author #2
  21. Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments stat.ME · 2020 · author #2
  22. Is a Transformed Low Discrepancy Design Also Low Discrepancy? stat.CO · 2020 · author #2
  23. Particle-based Energetic Variational Inference stat.ML · 2020 · author #4
  24. Gaussian Process Assisted Active Learning of Physical Laws stat.ME · 2019 · author #2
  25. D-optimal Design for Network A/B Testing stat.ME · 2019 · author #3

Mentions

  • 2505.09596 #2 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2502.16617 #1 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2412.10213 #3 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2407.05400 #2 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2401.00395 #1 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2402.15561 #3 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2306.14010 #2 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2304.08701 #1 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2209.12403 #2 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2111.10722 #3 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2602.21132 #2 · arxiv_oai · confidence 0.70 Lulu Kang
  • 2605.17985 #4 · arxiv_oai · confidence 0.70 Lulu Kang

Frequent Coauthors