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Bamdev Mishra

Identifiers

  • name variant Bamdev Mishra 0.60 · backfill

Papers (34)

  1. Nystr\"om Approximation on Manifolds math.NA · 2026 · author #5
  2. LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection cs.LG · 2026 · author #2
  3. Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds cs.LG · 2026 · author #7
  4. UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees cs.LG · 2026 · author #5
  5. Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach math.OC · 2025 · author #2
  6. Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition cs.LG · 2019 · author #3
  7. Low-rank approximations of hyperbolic embeddings cs.LG · 2019 · author #3
  8. Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold cs.CV · 2019 · author #2
  9. Riemannian adaptive stochastic gradient algorithms on matrix manifolds cs.LG · 2019 · author #3
  10. McTorch, a manifold optimization library for deep learning stat.ML · 2018 · author #5
  11. Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach cs.LG · 2018 · author #4
  12. Low-rank geometric mean metric learning cs.LG · 2018 · author #4
  13. A Unified Framework for Domain Adaptation using Metric Learning on Manifolds cs.LG · 2018 · author #2
  14. E-commerce Anomaly Detection: A Bayesian Semi-Supervised Tensor Decomposition Approach using Natural Gradients cs.LG · 2018 · author #3
  15. Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information cs.LG · 2018 · author #2
  16. A dual framework for low-rank tensor completion cs.LG · 2017 · author #3
  17. A two-dimensional decomposition approach for matrix completion through gossip cs.LG · 2017 · author #2
  18. A Riemannian gossip approach to subspace learning on Grassmann manifold cs.LG · 2017 · author #1
  19. Structured low-rank matrix learning: algorithms and applications stat.ML · 2017 · author #2
  20. Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis cs.LG · 2017 · author #3
  21. Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport cs.LG · 2017 · author #3
  22. Topological Interference Management with User Admission Control via Riemannian Optimization cs.IT · 2016 · author #2
  23. Low-rank tensor completion: a Riemannian manifold preconditioning approach cs.LG · 2016 · author #2
  24. Riemannian stochastic variance reduced gradient on Grassmann manifold cs.LG · 2016 · author #3
  25. A Riemannian gossip approach to decentralized matrix completion cs.NA · 2016 · author #1
  26. A Sparse and Low-Rank Optimization Framework for Index Coding via Riemannian Optimization cs.IT · 2016 · author #2
  27. Scaled stochastic gradient descent for low-rank matrix completion cs.LG · 2016 · author #1
  28. Symmetry-invariant optimization in deep networks cs.LG · 2015 · author #2
  29. Understanding symmetries in deep networks cs.LG · 2015 · author #2
  30. Riemannian preconditioning for tensor completion cs.NA · 2015 · author #2
  31. Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization cs.CV · 2015 · author #4
  32. Sparse plus low-rank autoregressive identification in neuroimaging time series cs.LG · 2015 · author #2
  33. Riemannian preconditioning math.OC · 2014 · author #1
  34. Manopt, a Matlab toolbox for optimization on manifolds cs.MS · 2013 · author #2

Mentions

  • 1405.6055 #1 · backfill · confidence 0.70 Bamdev Mishra
  • 1308.5200 #2 · backfill · confidence 0.70 Bamdev Mishra

Frequent Coauthors