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Tuo Zhao

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Papers (26)

  1. Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation cs.CL · 2026 · author #4
  2. Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning cs.AI · 2026 · author #11
  3. Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity cs.LG · 2026 · author #3
  4. BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models cs.LG · 2026 · author #6
  5. ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization cs.LG · 2025 · author #4
  6. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning cs.CL · 2023 · author #8
  7. Inductive Bias of Gradient Descent based Adversarial Training on Separable Data cs.LG · 2019 · author #4
  8. On Scalable and Efficient Computation of Large Scale Optimal Transport cs.LG · 2019 · author #4
  9. On Computation and Generalization of GANs with Spectrum Control cs.LG · 2018 · author #6
  10. Provable Gaussian Embedding with One Observation stat.ML · 2018 · author #3
  11. On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond cs.LG · 2018 · author #5
  12. Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models stat.ML · 2018 · author #4
  13. Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization cs.LG · 2018 · author #4
  14. Misspecified Nonconvex Statistical Optimization for Phase Retrieval stat.ML · 2017 · author #4
  15. Deep Hyperspherical Learning cs.LG · 2017 · author #6
  16. On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions stat.ML · 2017 · author #6
  17. Online Factorization and Partition of Complex Networks From Random Walks cs.LG · 2017 · author #3
  18. Homotopy Parametric Simplex Method for Sparse Learning cs.LG · 2017 · author #4
  19. Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization cs.LG · 2016 · author #7
  20. The Physical Systems Behind Optimization Algorithms cs.LG · 2016 · author #4
  21. On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization math.OC · 2016 · author #2
  22. On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function cs.LG · 2016 · author #7
  23. NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization math.OC · 2016 · author #3
  24. Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction cs.LG · 2016 · author #5
  25. Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory stat.ML · 2014 · author #1
  26. Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery stat.ML · 2013 · author #3

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