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Rong Ge

Identifiers

  • name variant Rong Ge 0.60 · backfill

Papers (49)

  1. Fine-Tuning Dynamics of In-Context Factual Recall in Transformers cs.LG · 2026 · author #4
  2. Faster Algorithms for High-Dimensional Robust Covariance Estimation cs.LG · 2019 · author #3
  3. Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization cs.LG · 2019 · author #1
  4. A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm math.PR · 2019 · author #3
  5. Understanding Composition of Word Embeddings via Tensor Decomposition cs.LG · 2019 · author #2
  6. High-Dimensional Robust Mean Estimation in Nearly-Linear Time cs.LG · 2018 · author #3
  7. Learning Two-layer Neural Networks with Symmetric Inputs cs.LG · 2018 · author #1
  8. Non-Convex Matrix Completion Against a Semi-Random Adversary cs.LG · 2018 · author #2
  9. On the Local Minima of the Empirical Risk cs.LG · 2018 · author #3
  10. Stronger generalization bounds for deep nets via a compression approach cs.LG · 2018 · author #2
  11. Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator cs.LG · 2018 · author #2
  12. Learning One-hidden-layer Neural Networks with Landscape Design cs.LG · 2017 · author #1
  13. Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo cs.LG · 2017 · author #1
  14. Online Service with Delay cs.DS · 2017 · author #3
  15. On the Optimization Landscape of Tensor Decompositions cs.LG · 2017 · author #1
  16. No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis cs.LG · 2017 · author #1
  17. How to Escape Saddle Points Efficiently cs.LG · 2017 · author #2
  18. Generalization and Equilibrium in Generative Adversarial Nets (GANs) cs.LG · 2017 · author #2
  19. Provable learning of Noisy-or Networks cs.LG · 2016 · author #2
  20. Homotopy Analysis for Tensor PCA stat.ML · 2016 · author #3
  21. DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems cs.PF · 2016 · author #3
  22. Provable Algorithms for Inference in Topic Models cs.LG · 2016 · author #2
  23. Matrix Completion has No Spurious Local Minimum cs.LG · 2016 · author #1
  24. Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis cs.LG · 2016 · author #1
  25. Efficient approaches for escaping higher order saddle points in non-convex optimization cs.LG · 2016 · author #2
  26. Big Data Analytics on Traditional HPC Infrastructure Using Two-Level Storage cs.DC · 2015 · author #3
  27. Rich Component Analysis cs.LG · 2015 · author #1
  28. Intersecting Faces: Non-negative Matrix Factorization With New Guarantees cs.LG · 2015 · author #1
  29. Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization stat.ML · 2015 · author #2
  30. Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms cs.DS · 2015 · author #1
  31. Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition cs.LG · 2015 · author #1
  32. Simple, Efficient, and Neural Algorithms for Sparse Coding cs.LG · 2015 · author #2
  33. Learning Mixtures of Gaussians in High Dimensions cs.LG · 2015 · author #1
  34. Competing with the Empirical Risk Minimizer in a Single Pass stat.ML · 2014 · author #2
  35. Minimal Realization Problems for Hidden Markov Models cs.LG · 2014 · author #2
  36. Analyzing Tensor Power Method Dynamics in Overcomplete Regime cs.LG · 2014 · author #2
  37. Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods cs.LG · 2014 · author #2
  38. Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates cs.LG · 2014 · author #2
  39. More Algorithms for Provable Dictionary Learning cs.DS · 2014 · author #3
  40. Provable Bounds for Learning Some Deep Representations cs.LG · 2013 · author #3
  41. New Algorithms for Learning Incoherent and Overcomplete Dictionaries cs.DS · 2013 · author #2
  42. Towards a better approximation for sparsest cut? cs.DS · 2013 · author #2
  43. A Tensor Approach to Learning Mixed Membership Community Models cs.LG · 2013 · author #2
  44. A Practical Algorithm for Topic Modeling with Provable Guarantees cs.LG · 2012 · author #2
  45. Tensor decompositions for learning latent variable models cs.LG · 2012 · author #2
  46. Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders cs.LG · 2012 · author #2
  47. Learning Topic Models - Going beyond SVD cs.LG · 2012 · author #2
  48. Finding Overlapping Communities in Social Networks: Toward a Rigorous Approach cs.SI · 2011 · author #2
  49. Computing a Nonnegative Matrix Factorization -- Provably cs.DS · 2011 · author #2

Mentions

  • 2605.27774 #4 · arxiv_oai · confidence 0.70 Rong Ge
  • 1308.6273 #2 · backfill · confidence 0.70 Rong Ge
  • 1304.3365 #2 · backfill · confidence 0.70 Rong Ge
  • 1302.2684 #2 · backfill · confidence 0.70 Rong Ge
  • 1212.4777 #2 · backfill · confidence 0.70 Rong Ge
  • 1210.7559 #2 · backfill · confidence 0.70 Rong Ge
  • 1206.5349 #2 · backfill · confidence 0.70 Rong Ge
  • 1204.1956 #2 · backfill · confidence 0.70 Rong Ge
  • 1112.1831 #2 · backfill · confidence 0.70 Rong Ge
  • 1111.0952 #2 · backfill · confidence 0.70 Rong Ge

Frequent Coauthors