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Guanghui Lan

Identifiers

  • name variant Guanghui Lan 0.60 · backfill

Papers (33)

  1. Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates math.OC · 2026 · author #2
  2. Value Mirror Descent for Reinforcement Learning math.OC · 2026 · author #2
  3. Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes math.OC · 2024 · author #1
  4. Uniformly Optimal and Parameter-free First-order Methods for Convex and Function-constrained Optimization math.OC · 2024 · author #2
  5. Projection-Free Functional Constrained Optimization for Risk Aversion and Sparsity Control math.OC · 2022 · author #2
  6. Cubic Regularization with Momentum for Nonconvex Optimization math.OC · 2018 · author #4
  7. Optimal Adaptive and Accelerated Stochastic Gradient Descent stat.ML · 2018 · author #3
  8. Asynchronous decentralized accelerated stochastic gradient descent math.OC · 2018 · author #1
  9. A Note on Inexact Condition for Cubic Regularized Newton's Method math.OC · 2018 · author #4
  10. Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization math.OC · 2018 · author #4
  11. Robust affine control of linear stochastic systems math.OC · 2017 · author #2
  12. Random gradient extrapolation for distributed and stochastic optimization math.OC · 2017 · author #1
  13. Theoretical properties of the global optimizer of two layer neural network cs.LG · 2017 · author #2
  14. Conditional Accelerated Lazy Stochastic Gradient Descent cs.LG · 2017 · author #1
  15. Communication-Efficient Algorithms for Decentralized and Stochastic Optimization math.OC · 2017 · author #1
  16. Accelerated gradient sliding for structured convex optimization math.OC · 2016 · author #1
  17. Randomized Block Subgradient Methods for Convex Nonsmooth and Stochastic Optimization math.OC · 2015 · author #2
  18. Generalized Uniformly Optimal Methods for Nonlinear Programming math.OC · 2015 · author #2
  19. An optimal randomized incremental gradient method math.OC · 2015 · author #1
  20. Fast Bundle-Level Type Methods for unconstrained and ball-constrained convex optimization math.OC · 2014 · author #2
  21. Randomized First-Order Methods for Saddle Point Optimization math.OC · 2014 · author #2
  22. Gradient Sliding for Composite Optimization math.OC · 2014 · author #1
  23. Accelerated Schemes For A Class of Variational Inequalities math.OC · 2014 · author #2
  24. An Accelerated Linearized Alternating Direction Method of Multipliers math.OC · 2014 · author #3
  25. On the Convergence Properties of Non-Euclidean Extragradient Methods for Variational Inequalities with Generalized Monotone Operators math.OC · 2013 · author #2
  26. Accelerated Gradient Methods for Nonconvex Nonlinear and Stochastic Programming math.OC · 2013 · author #2
  27. The Complexity of Large-scale Convex Programming under a Linear Optimization Oracle math.OC · 2013 · author #1
  28. Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming math.OC · 2013 · author #2
  29. Optimal Primal-Dual Methods for a Class of Saddle Point Problems math.OC · 2013 · author #2
  30. Bundle-Level Type Methods Uniformly Optimal for Smooth and Nonsmooth Convex Optimization math.OC · 2013 · author #1
  31. Linearly Convergent First-Order Algorithms for Semi-definite Programming math.OC · 2013 · author #2
  32. Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization math.OC · 2013 · author #2
  33. Mini-batch Stochastic Approximation Methods for Nonconvex Stochastic Composite Optimization math.OC · 2013 · author #2

Mentions

  • 1509.04609 #2 · backfill · confidence 0.70 Guanghui Lan
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Frequent Coauthors