pith. sign in

Praneeth Netrapalli

Identifiers

  • name variant Praneeth Netrapalli 0.60 · backfill

Papers (35)

  1. Inferring Asteroseismic Parameters from Short Observations Using Deep Learning: Application to TESS and K2 Red Giants astro-ph.SR · 2026 · author #4
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #703
  3. A Faster Generalized Two-Stage Approximate Top-K cs.LG · 2025 · author #5
  4. Efficient Algorithms for Smooth Minimax Optimization math.OC · 2019 · author #3
  5. Making the Last Iterate of SGD Information Theoretically Optimal math.OC · 2019 · author #3
  6. A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm math.PR · 2019 · author #2
  7. On the insufficiency of existing momentum schemes for Stochastic Optimization cs.LG · 2018 · author #2
  8. Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form stat.ML · 2018 · author #4
  9. Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent cs.LG · 2017 · author #2
  10. Leverage Score Sampling for Faster Accelerated Regression and ERM stat.ML · 2017 · author #5
  11. A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares) stat.ML · 2017 · author #4
  12. Accelerating Stochastic Gradient Descent For Least Squares Regression stat.ML · 2017 · author #4
  13. Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness cs.DS · 2017 · author #2
  14. How to Escape Saddle Points Efficiently cs.LG · 2017 · author #3
  15. Thresholding based Efficient Outlier Robust PCA cs.LG · 2017 · author #3
  16. Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification stat.ML · 2016 · author #4
  17. Information-theoretic thresholds for community detection in sparse networks math.PR · 2016 · author #4
  18. Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent cs.LG · 2016 · author #3
  19. Faster Eigenvector Computation via Shift-and-Invert Preconditioning cs.DS · 2016 · author #6
  20. Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis cs.LG · 2016 · author #4
  21. Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm cs.LG · 2016 · author #4
  22. Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation cs.DS · 2015 · author #4
  23. Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot math.NA · 2015 · author #4
  24. Convergence Rates of Active Learning for Maximum Likelihood Estimation cs.LG · 2015 · author #3
  25. Learning Planar Ising Models stat.ML · 2015 · author #4
  26. Fast Exact Matrix Completion with Finite Samples cs.NA · 2014 · author #2
  27. Non-convex Robust PCA cs.IT · 2014 · author #1
  28. Non-Reconstructability in the Stochastic Block Model math.PR · 2014 · author #2
  29. Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization cs.LG · 2013 · author #4
  30. A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries stat.ML · 2013 · author #3
  31. Phase Retrieval using Alternating Minimization stat.ML · 2013 · author #1
  32. Low-rank Matrix Completion using Alternating Minimization stat.ML · 2012 · author #2
  33. Greedy Learning of Markov Network Structure stat.ML · 2012 · author #1
  34. Finding the Graph of Epidemic Cascades cs.SI · 2012 · author #1
  35. Learning Planar Ising Models stat.ML · 2010 · author #2

Mentions

  • 1212.0467 #2 · backfill · confidence 0.70 Praneeth Netrapalli
  • 1202.1787 #1 · backfill · confidence 0.70 Praneeth Netrapalli
  • 1202.1779 #1 · backfill · confidence 0.70 Praneeth Netrapalli
  • 1011.3494 #2 · backfill · confidence 0.70 Praneeth Netrapalli

Frequent Coauthors