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Ambuj Tewari

Identifiers

  • name variant Ambuj Tewari 0.60 · backfill

Papers (50)

  1. Online Conformal Prediction: Enforcing monotonicity via Online Optimization stat.ML · 2026 · author #2
  2. Compute Aligned Training: Optimizing for Test Time Inference cs.LG · 2026 · author #2
  3. A Greedy PDE Router for Blending Neural Operators and Classical Methods stat.ME · 2025 · author #3
  4. Operator Learning for Schr\"{o}dinger Equation: Unitarity, Error Bounds, and Time Generalization stat.ML · 2025 · author #3
  5. Offline Constrained Reinforcement Learning under Partial Data Coverage stat.ML · 2025 · author #2
  6. Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems cs.SY · 2019 · author #2
  7. On Applications of Bootstrap in Continuous Space Reinforcement Learning cs.LG · 2019 · author #2
  8. Online Multiclass Boosting with Bandit Feedback stat.ML · 2018 · author #3
  9. Fighting Contextual Bandits with Stochastic Smoothing stat.ML · 2018 · author #2
  10. But How Does It Work in Theory? Linear SVM with Random Features cs.LG · 2018 · author #3
  11. Finite Time Adaptive Stabilization of LQ Systems cs.SY · 2018 · author #2
  12. Optimism-Based Adaptive Regulation of Linear-Quadratic Systems cs.SY · 2017 · author #2
  13. Action Centered Contextual Bandits stat.ME · 2017 · author #2
  14. Online Boosting Algorithms for Multi-label Ranking stat.ML · 2017 · author #2
  15. Finite Time Identification in Unstable Linear Systems cs.SY · 2017 · author #2
  16. Lasso Guarantees for $ \beta $-Mixing Heavy Tailed Time Series math.ST · 2017 · author #3
  17. Online Multiclass Boosting stat.ML · 2017 · author #3
  18. Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits cs.LG · 2017 · author #2
  19. Sampled Fictitious Play is Hannan Consistent cs.GT · 2016 · author #2
  20. Online Learning to Rank with Top-k Feedback cs.LG · 2016 · author #2
  21. Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games cs.GT · 2016 · author #2
  22. Mixture Proportion Estimation via Kernel Embedding of Distributions cs.LG · 2016 · author #3
  23. Generalization error bounds for learning to rank: Does the length of document lists matter? cs.LG · 2016 · author #1
  24. Online Learning to Rank with Feedback at the Top cs.LG · 2016 · author #2
  25. Lasso Guarantees for Time Series Estimation Under Subgaussian Tails and $ \beta $-Mixing stat.ML · 2016 · author #3
  26. Fighting Bandits with a New Kind of Smoothness cs.LG · 2015 · author #3
  27. Handling Class Imbalance in Link Prediction using Learning to Rank Techniques stat.ML · 2015 · author #3
  28. Perceptron like Algorithms for Online Learning to Rank cs.LG · 2015 · author #2
  29. Spectral Smoothing via Random Matrix Perturbations cs.LG · 2015 · author #3
  30. Consistent Algorithms for Multiclass Classification with a Reject Option cs.LG · 2015 · author #2
  31. Optimality of Fast Matching Algorithms for Random Networks with Applications to Structural Controllability cs.DS · 2015 · author #2
  32. On Iterative Hard Thresholding Methods for High-dimensional M-Estimation cs.LG · 2014 · author #2
  33. Online Ranking with Top-1 Feedback cs.LG · 2014 · author #2
  34. Online Linear Optimization via Smoothing cs.LG · 2014 · author #4
  35. Perceptron-like Algorithms and Generalization Bounds for Learning to Rank cs.LG · 2014 · author #2
  36. On Lipschitz Continuity and Smoothness of Loss Functions in Learning to Rank cs.LG · 2014 · author #1
  37. Prediction and Clustering in Signed Networks: A Local to Global Perspective cs.SI · 2013 · author #4
  38. Feature Clustering for Accelerating Parallel Coordinate Descent stat.ML · 2012 · author #2
  39. The Interplay Between Stability and Regret in Online Learning cs.LG · 2012 · author #3
  40. Deterministic MDPs with Adversarial Rewards and Bandit Feedback cs.GT · 2012 · author #3
  41. REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs cs.LG · 2012 · author #2
  42. On the Universality of Online Mirror Descent cs.LG · 2011 · author #3
  43. Orthogonal Matching Pursuit with Replacement cs.IT · 2011 · author #2
  44. Online Learning: Stochastic and Constrained Adversaries stat.ML · 2011 · author #3
  45. Online Learning: Beyond Regret stat.ML · 2010 · author #3
  46. Optimistic Rates for Learning with a Smooth Loss cs.LG · 2010 · author #3
  47. Online Learning via Sequential Complexities cs.LG · 2010 · author #3
  48. On the Finite Time Convergence of Cyclic Coordinate Descent Methods cs.LG · 2010 · author #2
  49. Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity cs.LG · 2009 · author #4
  50. Regularization Techniques for Learning with Matrices cs.LG · 2009 · author #3

Mentions

  • 1405.6076 #4 · backfill · confidence 0.70 Ambuj Tewari
  • 1405.0591 #2 · backfill · confidence 0.70 Ambuj Tewari
  • 1405.0586 #1 · backfill · confidence 0.70 Ambuj Tewari
  • 1302.5145 #4 · backfill · confidence 0.70 Ambuj Tewari
  • 1212.4174 #2 · backfill · confidence 0.70 Ambuj Tewari
  • 1211.6158 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1210.4843 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1205.2661 #2 · backfill · confidence 0.70 Ambuj Tewari
  • 2604.24957 #2 · arxiv_oai · confidence 0.70 Ambuj Tewari
  • 1107.4080 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1106.2774 #2 · backfill · confidence 0.70 Ambuj Tewari
  • 1104.5070 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1011.3168 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1009.3896 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1006.1138 #3 · backfill · confidence 0.70 Ambuj Tewari
  • 1005.2146 #2 · backfill · confidence 0.70 Ambuj Tewari
  • 0911.0054 #4 · backfill · confidence 0.70 Ambuj Tewari
  • 0910.0610 #3 · backfill · confidence 0.70 Ambuj Tewari

Frequent Coauthors