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Shai Shalev-Shwartz

Identifiers

  • name variant Shai Shalev-Shwartz 0.60 · backfill

Papers (54)

  1. Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity cs.LG · 2026 · author #3
  2. Jamba: A Hybrid Transformer-Mamba Language Model cs.CL · 2024 · author #10
  3. MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cs.CL · 2022 · author #15
  4. Discriminative Active Learning cs.LG · 2019 · author #2
  5. Decoupling Gating from Linearity cs.LG · 2019 · author #3
  6. Is Deeper Better only when Shallow is Good? cs.LG · 2019 · author #2
  7. Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput cs.RO · 2018 · author #1
  8. A Provably Correct Algorithm for Deep Learning that Actually Works cs.LG · 2018 · author #2
  9. SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data cs.LG · 2017 · author #4
  10. On a Formal Model of Safe and Scalable Self-driving Cars cs.RO · 2017 · author #1
  11. Decoupling "when to update" from "how to update" cs.LG · 2017 · author #2
  12. Weight Sharing is Crucial to Succesful Optimization cs.LG · 2017 · author #1
  13. Failures of Gradient-Based Deep Learning cs.LG · 2017 · author #1
  14. Fast Rates for Empirical Risk Minimization of Strict Saddle Problems cs.LG · 2017 · author #2
  15. Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving cs.AI · 2016 · author #1
  16. Faster Low-rank Approximation using Adaptive Gap-based Preconditioning cs.IT · 2016 · author #2
  17. Learning a Metric Embedding for Face Recognition using the Multibatch Method cs.CV · 2016 · author #4
  18. On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training cs.LG · 2016 · author #1
  19. Distribution Free Learning with Local Queries cs.LG · 2016 · author #3
  20. Solving Ridge Regression using Sketched Preconditioned SVRG cs.LG · 2016 · author #3
  21. Minimizing the Maximal Loss: How and Why? cs.LG · 2016 · author #1
  22. SDCA without Duality, Regularization, and Individual Convexity cs.LG · 2016 · author #1
  23. Long-term Planning by Short-term Prediction cs.LG · 2016 · author #1
  24. Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization cs.LG · 2016 · author #2
  25. Beyond Convexity: Stochastic Quasi-Convex Optimization cs.LG · 2015 · author #3
  26. Faster SGD Using Sketched Conditioning cs.NA · 2015 · author #2
  27. On Lower and Upper Bounds for Smooth and Strongly Convex Optimization Problems math.OC · 2015 · author #2
  28. On Graduated Optimization for Stochastic Non-Convex Problems cs.LG · 2015 · author #3
  29. Strongly Adaptive Online Learning cs.LG · 2015 · author #3
  30. SDCA without Duality cs.LG · 2015 · author #1
  31. SelfieBoost: A Boosting Algorithm for Deep Learning stat.ML · 2014 · author #1
  32. On the Computational Efficiency of Training Neural Networks cs.LG · 2014 · author #2
  33. Optimal Learners for Multiclass Problems cs.LG · 2014 · author #2
  34. Subspace Learning with Partial Information cs.LG · 2014 · author #4
  35. From average case complexity to improper learning complexity cs.LG · 2013 · author #3
  36. Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization stat.ML · 2013 · author #1
  37. Multiclass learnability and the ERM principle cs.LG · 2013 · author #4
  38. Accelerated Mini-Batch Stochastic Dual Coordinate Ascent stat.ML · 2013 · author #1
  39. An Algorithm for Training Polynomial Networks cs.LG · 2013 · author #2
  40. Learning Sparse Low-Threshold Linear Classifiers stat.ML · 2012 · author #2
  41. Proximal Stochastic Dual Coordinate Ascent stat.ML · 2012 · author #1
  42. The complexity of learning halfspaces using generalized linear methods cs.LG · 2012 · author #3
  43. Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization stat.ML · 2012 · author #1
  44. Efficient Active Learning of Halfspaces: an Aggressive Approach cs.LG · 2012 · author #3
  45. The Kernelized Stochastic Batch Perceptron cs.LG · 2012 · author #2
  46. Near-Optimal Algorithms for Online Matrix Prediction cs.LG · 2012 · author #3
  47. Active Learning of Halfspaces under a Margin Assumption cs.LG · 2011 · author #3
  48. ShareBoost: Efficient Multiclass Learning with Feature Sharing cs.LG · 2011 · author #1
  49. Large-Scale Convex Minimization with a Low-Rank Constraint cs.LG · 2011 · author #1
  50. Using More Data to Speed-up Training Time cs.LG · 2011 · author #1
  51. Learning Kernel-Based Halfspaces with the Zero-One Loss cs.LG · 2010 · author #1
  52. Online Learning of Noisy Data with Kernels cs.LG · 2010 · author #2
  53. Efficient Learning with Partially Observed Attributes cs.LG · 2010 · author #2
  54. Regularization Techniques for Learning with Matrices cs.LG · 2009 · author #2

Mentions

  • 1309.2375 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1308.2893 #4 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1305.2581 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1304.7045 #2 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1212.3276 #2 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1211.2717 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1211.0616 #3 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1209.1873 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1208.3561 #3 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1204.0566 #2 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1204.0136 #3 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1112.1556 #3 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1109.0820 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1106.1622 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1106.1216 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1005.3681 #1 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1005.2296 #2 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 1004.4421 #2 · backfill · confidence 0.70 Shai Shalev-Shwartz
  • 0910.0610 #2 · backfill · confidence 0.70 Shai Shalev-Shwartz

Frequent Coauthors