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Pradeep Ravikumar

Identifiers

  • name variant Pradeep Ravikumar 0.60 · backfill

Papers (43)

  1. Stochastic global optimization of continuous functions via random walks on Grassmannians math.OC · 2026 · author #3
  2. A Unifying Framework for Unsupervised Concept Extraction cs.LG · 2026 · author #2
  3. A Unified Approach to Robust Mean Estimation stat.ML · 2019 · author #3
  4. Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression cs.LG · 2019 · author #3
  5. Towards Aggregating Weighted Feature Attributions cs.LG · 2019 · author #2
  6. Representer Point Selection for Explaining Deep Neural Networks cs.LG · 2018 · author #4
  7. Word Mover's Embedding: From Word2Vec to Document Embedding cs.CL · 2018 · author #7
  8. Sample Complexity of Nonparametric Semi-Supervised Learning cs.LG · 2018 · author #4
  9. Revisiting Adversarial Risk stat.ML · 2018 · author #4
  10. Binary Classification with Karmic, Threshold-Quasi-Concave Metrics stat.ML · 2018 · author #4
  11. Robust Nonparametric Regression under Huber's $\epsilon$-contamination Model math.ST · 2018 · author #4
  12. DAGs with NO TEARS: Continuous Optimization for Structure Learning stat.ML · 2018 · author #3
  13. Robust Estimation via Robust Gradient Estimation stat.ML · 2018 · author #4
  14. D2KE: From Distance to Kernel and Embedding stat.ML · 2018 · author #4
  15. A Voting-Based System for Ethical Decision Making cs.AI · 2017 · author #6
  16. Online Classification with Complex Metrics stat.ML · 2016 · author #4
  17. A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution stat.ME · 2016 · author #4
  18. Kernel Ridge Regression via Partitioning stat.ML · 2016 · author #3
  19. Generalized Root Models: Beyond Pairwise Graphical Models for Univariate Exponential Families stat.ML · 2016 · author #2
  20. Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies stat.ML · 2016 · author #2
  21. Exponential Family Matrix Completion under Structural Constraints stat.ML · 2015 · author #2
  22. Vector-Space Markov Random Fields via Exponential Families stat.ML · 2015 · author #4
  23. Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics cs.LG · 2015 · author #3
  24. On the Information Theoretic Limits of Learning Ising Models cs.LG · 2014 · author #4
  25. A General Framework for Mixed Graphical Models math.ST · 2014 · author #2
  26. Sparsistency of $\ell_1$-Regularized $M$-Estimators math.ST · 2014 · author #3
  27. Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators stat.ML · 2014 · author #4
  28. Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation cs.LG · 2013 · author #4
  29. On Graphical Models via Univariate Exponential Family Distributions math.ST · 2013 · author #2
  30. A Hierarchical Graphical Model for Record Linkage cs.LG · 2012 · author #1
  31. Variational Chernoff Bounds for Graphical Models cs.LG · 2012 · author #1
  32. High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods cs.LG · 2011 · author #3
  33. Virus Dynamics on Starlike Graphs math.DS · 2011 · author #5
  34. On Learning Discrete Graphical Models Using Greedy Methods cs.LG · 2011 · author #3
  35. A Dirty Model for Multiple Sparse Regression cs.LG · 2011 · author #2
  36. Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models stat.AP · 2011 · author #2
  37. A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers math.ST · 2010 · author #2
  38. High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression math.ST · 2010 · author #1
  39. Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization stat.ML · 2010 · author #3
  40. Error-Correcting Tournaments cs.AI · 2009 · author #3
  41. High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence stat.ML · 2008 · author #1
  42. High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression math.ST · 2008 · author #1
  43. Sparse Additive Models math.ST · 2007 · author #1

Mentions

  • 1306.3212 #4 · backfill · confidence 0.70 Pradeep Ravikumar
  • 2605.14151 #3 · arxiv_oai · confidence 0.70 Pradeep Ravikumar
  • 1301.4183 #2 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1207.4180 #1 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1207.4172 #1 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1112.6411 #3 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1111.0531 #5 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1107.3258 #3 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1106.5826 #2 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1104.2805 #2 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1010.2731 #2 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1010.0311 #1 · backfill · confidence 0.70 Pradeep Ravikumar
  • 1009.0571 #3 · backfill · confidence 0.70 Pradeep Ravikumar
  • 0902.3176 #3 · backfill · confidence 0.70 Pradeep Ravikumar
  • 0811.3628 #1 · backfill · confidence 0.70 Pradeep Ravikumar
  • 0804.4202 #1 · backfill · confidence 0.70 Pradeep Ravikumar
  • 0711.4555 #1 · backfill · confidence 0.70 Pradeep Ravikumar

Frequent Coauthors