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Yu-Xiang Wang

Identifiers

  • name variant Yu-Xiang Wang 0.60 · backfill

Papers (32)

  1. Dataset Watermarking for Closed LLMs with Provable Detection cs.LG · 2026 · author #3
  2. Optimal Contextual Pricing under Agnostic Non-Lipschitz Demand cs.LG · 2026 · author #2
  3. DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cs.LG · 2026 · author #6
  4. Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability stat.ML · 2026 · author #5
  5. Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs cs.LG · 2025 · author #5
  6. Generalization Below the Edge of Stability: The Role of Data Geometry stat.ML · 2025 · author #4
  7. A Higher-Order Kolmogorov-Smirnov Test stat.ML · 2019 · author #2
  8. Imitation-Regularized Offline Learning cs.LG · 2019 · author #2
  9. ProxQuant: Quantized Neural Networks via Proximal Operators cs.LG · 2018 · author #2
  10. Subsampled R\'enyi Differential Privacy and Analytical Moments Accountant cs.LG · 2018 · author #1
  11. Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising cs.LG · 2018 · author #2
  12. Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain stat.ML · 2018 · author #1
  13. signSGD: Compressed Optimisation for Non-Convex Problems cs.LG · 2018 · author #2
  14. Detecting and Correcting for Label Shift with Black Box Predictors cs.LG · 2018 · author #2
  15. Non-stationary Stochastic Optimization under $L_{p,q}$-Variation Measures stat.ML · 2017 · author #3
  16. Per-instance Differential Privacy stat.ML · 2017 · author #1
  17. Optimal and Adaptive Off-policy Evaluation in Contextual Bandits stat.ML · 2016 · author #1
  18. Joint Hacking and Latent Hazard Rate Estimation stat.AP · 2016 · author #4
  19. Attributing Hacks cs.LG · 2016 · author #4
  20. A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data stat.ML · 2016 · author #2
  21. Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers math.ST · 2016 · author #2
  22. On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms stat.ML · 2016 · author #1
  23. A Minimax Theory for Adaptive Data Analysis stat.ML · 2016 · author #1
  24. Fast Differentially Private Matrix Factorization cs.LG · 2015 · author #2
  25. Graph Connectivity in Noisy Sparse Subspace Clustering stat.ML · 2015 · author #2
  26. Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo stat.ML · 2015 · author #1
  27. Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle stat.ML · 2015 · author #1
  28. Trend Filtering on Graphs stat.ML · 2014 · author #1
  29. Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms stat.ML · 2014 · author #1
  30. The Falling Factorial Basis and Its Statistical Applications stat.ML · 2014 · author #1
  31. Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization cs.CV · 2013 · author #1
  32. Noisy Sparse Subspace Clustering stat.ML · 2013 · author #1

Mentions

  • 1505.01419 #2 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1504.01046 #2 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1502.07645 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1502.06309 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1410.7690 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1409.6086 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1405.0558 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1309.1539 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 1309.1233 #1 · backfill · confidence 0.70 Yu-Xiang Wang
  • 2604.15851 #6 · arxiv_oai · confidence 0.70 Yu-Xiang Wang

Frequent Coauthors