pith. sign in

Quanquan Gu

Identifiers

  • name variant Quanquan Gu 0.60 · backfill

Papers (40)

  1. Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cs.LG · 2026 · author #3
  2. Unlocking Feature Learning in Gated Delta Networks at Scale cs.LG · 2026 · author #2
  3. Self-Distilled Policy Gradient cs.LG · 2026 · author #4
  4. Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability cs.LG · 2026 · author #4
  5. On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization cs.LG · 2026 · author #5
  6. Towards A Generative Protein Evolution Machine with DPLM-Evo cs.LG · 2026 · author #7
  7. Protein Autoregressive Modeling via Multiscale Structure Generation cs.LG · 2026 · author #5
  8. Deep Delta Learning cs.LG · 2026 · author #4
  9. Group Representational Position Encoding cs.LG · 2025 · author #8
  10. Higher-order Linear Attention cs.LG · 2025 · author #4
  11. Towards Simple and Provable Parameter-Free Adaptive Gradient Methods cs.LG · 2024 · author #6
  12. Relative Translation Invariant Wasserstein Distance cs.LG · 2024 · author #5
  13. TrustLLM: Trustworthiness in Large Language Models cs.CL · 2024 · author #51
  14. Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cs.LG · 2024 · author #5
  15. An Improved Analysis of Training Over-parameterized Deep Neural Networks cs.LG · 2019 · author #2
  16. An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient cs.LG · 2019 · author #3
  17. Lower Bounds for Smooth Nonconvex Finite-Sum Optimization math.OC · 2019 · author #2
  18. Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method math.OC · 2018 · author #3
  19. Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks cs.LG · 2018 · author #4
  20. Finding Local Minima via Stochastic Nested Variance Reduction cs.LG · 2018 · author #3
  21. Learning One-hidden-layer ReLU Networks via Gradient Descent stat.ML · 2018 · author #4
  22. Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow stat.ML · 2018 · author #3
  23. Stochastic Variance-Reduced Cubic Regularized Newton Method cs.LG · 2018 · author #3
  24. Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima math.OC · 2017 · author #3
  25. Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently cs.LG · 2017 · author #3
  26. Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption stat.ML · 2017 · author #4
  27. Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations stat.ML · 2017 · author #3
  28. A Unified Framework for Low-Rank plus Sparse Matrix Recovery stat.ML · 2017 · author #3
  29. A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery stat.ML · 2017 · author #3
  30. Stochastic Variance-reduced Gradient Descent for Low-rank Matrix Recovery from Linear Measurements stat.ML · 2017 · author #3
  31. Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models stat.ML · 2016 · author #3
  32. A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation stat.ML · 2016 · author #3
  33. Communication-efficient Distributed Sparse Linear Discriminant Analysis stat.ML · 2016 · author #2
  34. High Dimensional Multivariate Regression and Precision Matrix Estimation via Nonconvex Optimization stat.ML · 2016 · author #2
  35. Sharp Computational-Statistical Phase Transitions via Oracle Computational Model stat.ML · 2015 · author #2
  36. Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation stat.ML · 2015 · author #2
  37. Statistical Limits of Convex Relaxations stat.ML · 2015 · author #2
  38. Local and Global Inference for High Dimensional Nonparanormal Graphical Models stat.ML · 2015 · author #1
  39. High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality stat.ML · 2014 · author #2
  40. Generalized Fisher Score for Feature Selection cs.LG · 2012 · author #1

Mentions

  • 2606.06053 #3 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 2605.00182 #7 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 2606.04048 #2 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 2606.04036 #4 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 1505.04780 #2 · backfill · confidence 0.70 Quanquan Gu
  • 1503.01442 #2 · backfill · confidence 0.70 Quanquan Gu
  • 1502.02347 #1 · backfill · confidence 0.70 Quanquan Gu
  • 1412.8729 #2 · backfill · confidence 0.70 Quanquan Gu
  • 2412.19444 #6 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 2409.02416 #5 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 1202.3725 #1 · backfill · confidence 0.70 Quanquan Gu
  • 2602.04883 #5 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 2510.27258 #4 · arxiv_oai · confidence 0.70 Quanquan Gu
  • 2401.05561 #51 · arxiv_oai · confidence 0.70 Quanquan Gu

Frequent Coauthors