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Pratik Jawanpuria

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Papers (14)

  1. Nystr\"om Approximation on Manifolds math.NA · 2026 · author #4
  2. LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection cs.LG · 2026 · author #3
  3. Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds cs.LG · 2026 · author #6
  4. FedSEA: Achieving Benefit of Parallelization in Federated Online Learning cs.LG · 2026 · author #2
  5. UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees cs.LG · 2026 · author #6
  6. Low-rank approximations of hyperbolic embeddings cs.LG · 2019 · author #1
  7. Riemannian adaptive stochastic gradient algorithms on matrix manifolds cs.LG · 2019 · author #2
  8. McTorch, a manifold optimization library for deep learning stat.ML · 2018 · author #2
  9. Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach cs.LG · 2018 · author #1
  10. Low-rank geometric mean metric learning cs.LG · 2018 · author #2
  11. A dual framework for low-rank tensor completion cs.LG · 2017 · author #2
  12. A Riemannian gossip approach to subspace learning on Grassmann manifold cs.LG · 2017 · author #3
  13. Structured low-rank matrix learning: algorithms and applications stat.ML · 2017 · author #1
  14. Efficient Output Kernel Learning for Multiple Tasks stat.ML · 2015 · author #1

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