768 results on '"Yinyu Ye"'
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2. Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness.
3. Sketched Newton Value Iteration for Large-Scale Markov Decision Processes.
4. Technical Note - An Improved Analysis of LP-Based Control for Revenue Management.
5. Adam-mini: Use Fewer Learning Rates To Gain More.
6. Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process.
7. TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound.
8. Decoupling Learning and Decision-Making: Breaking the O(√T) Barrier in Online Resource Allocation with First-Order Methods.
9. Diffusion Model for Data-Driven Black-Box Optimization.
10. Budget Allocation in a Competitive Communication Spectrum Economy
11. Solving Linear Programs with Fast Online Learning Algorithms.
12. Simple and fast algorithm for binary integer and online linear programming.
13. Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms.
14. A Riemannian Dimension-Reduced Second-Order Method with Application in Sensor Network Localization.
15. Fine-Grained Correlation Loss for Regression.
16. Scalable Approximate Optimal Diagonal Preconditioning.
17. A Homogenization Approach for Gradient-Dominated Stochastic Optimization.
18. Stochastic Dimension-reduced Second-order Methods for Policy Optimization.
19. Data-driven aerodynamic shape design with distributionally robust optimization approaches.
20. A gradient descent akin method for constrained optimization: algorithms and applications.
21. Minimizing Sensor Allocation Cost for Crowdsensing On-street Parking Availability.
22. Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching.
23. Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds.
24. High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks.
25. Distributed Stochastic Optimization with Large Delays.
26. The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks.
27. Markets for Efficient Public Good Allocation with Social Distancing.
28. Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity.
29. Adaptive Discrete Phase Retrieval.
30. An ADMM-based interior-point method for large-scale linear programming.
31. Managing randomization in the multi-block alternating direction method of multipliers for quadratic optimization.
32. Correction to: Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs.
33. Worst-case complexity of cyclic coordinate descent: O(n2) gap with randomized version.
34. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.
35. Cardinal Optimizer (COPT) User Guide.
36. Optimal Diagonal Preconditioning: Theory and Practice.
37. DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses.
38. HDSDP: Software for Semidefinite Programming.
39. Online Learning in Fisher Markets with Unknown Agent Preferences.
40. Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem.
41. Towards solving 2-TBSG efficiently.
42. A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid.
43. Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs.
44. On the Efficiency of Random Permutation for ADMM and Coordinate Descent.
45. Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices.
46. Distributionally Robust Local Non-parametric Conditional Estimation.
47. Simple and Fast Algorithm for Binary Integer and Online Linear Programming.
48. Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model.
49. Learning in Games with Lossy Feedback.
50. Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
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