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Chi Jin

Identifiers

  • name variant Chi Jin 0.60 · backfill

Papers (28)

  1. Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces cs.LG · 2026 · author #3
  2. Continual Harness: Online Adaptation for Self-Improving Foundation Agents cs.LG · 2026 · author #7
  3. MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI cs.LG · 2026 · author #28
  4. Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning cs.LG · 2026 · author #13
  5. Awakening the Sleeping Agent: Lean-Specific Agentic Data Reactivates General Tool Use in Goedel Prover cs.AI · 2026 · author #5
  6. Automatic Generation of High-Performance RL Environments cs.LG · 2026 · author #3
  7. Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction cs.LG · 2025 · author #20
  8. VRAG: Learning World Models for Interactive Video Generation cs.CV · 2025 · author #4
  9. DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization cs.CV · 2024 · author #2
  10. A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm math.PR · 2019 · author #1
  11. Is Q-learning Provably Efficient? cs.LG · 2018 · author #1
  12. Stability and Convergence Trade-off of Iterative Optimization Algorithms stat.ML · 2018 · author #2
  13. On the Local Minima of the Empirical Risk cs.LG · 2018 · author #1
  14. Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent cs.LG · 2017 · author #1
  15. Stochastic Cubic Regularization for Fast Nonconvex Optimization cs.LG · 2017 · author #3
  16. Gradient Descent Can Take Exponential Time to Escape Saddle Points math.OC · 2017 · author #2
  17. No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis cs.LG · 2017 · author #2
  18. How to Escape Saddle Points Efficiently cs.LG · 2017 · author #1
  19. Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences stat.ML · 2016 · author #1
  20. Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent cs.LG · 2016 · author #1
  21. Faster Eigenvector Computation via Shift-and-Invert Preconditioning cs.DS · 2016 · author #3
  22. Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis cs.LG · 2016 · author #2
  23. Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm cs.LG · 2016 · author #2
  24. Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation cs.DS · 2015 · author #1
  25. Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot math.NA · 2015 · author #2
  26. Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition cs.LG · 2015 · author #3
  27. An Extended Small-Gain Theorem cs.SY · 2014 · author #2
  28. Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output cs.DB · 2014 · author #1

Mentions

  • 1401.0987 #1 · backfill · confidence 0.70 Chi Jin
  • 2505.21996 #4 · arxiv_oai · confidence 0.70 Chi Jin
  • 2605.08678 #28 · arxiv_oai · confidence 0.70 Chi Jin
  • 2508.03613 #20 · arxiv_oai · confidence 0.70 Chi Jin
  • 2605.17698 #3 · arxiv_oai · confidence 0.70 Chi Jin
  • 2603.12145 #3 · arxiv_oai · confidence 0.70 Chi Jin

Frequent Coauthors