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Peter L. Bartlett

Identifiers

  • name variant Peter L. Bartlett 0.60 · backfill

Papers (38)

  1. Scale-free adaptive planning for deterministic dynamics & discounted rewards cs.LG · 2026 · author #1
  2. Best of both worlds: Stochastic & adversarial best-arm identification stat.ML · 2026 · author #2
  3. Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data stat.ML · 2026 · author #3
  4. Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization stat.ML · 2025 · author #2
  5. Bayesian Robustness: A Nonasymptotic Viewpoint stat.ML · 2019 · author #4
  6. Testing Markov Chains without Hitting math.ST · 2019 · author #2
  7. Fast Mean Estimation with Sub-Gaussian Rates math.ST · 2019 · author #3
  8. Quantitative Weak Convergence for Discrete Stochastic Processes math.ST · 2019 · author #2
  9. Large-Scale Markov Decision Problems via the Linear Programming Dual math.OC · 2019 · author #2
  10. A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption cs.LG · 2018 · author #1
  11. Best of many worlds: Robust model selection for online supervised learning cs.LG · 2018 · author #4
  12. Representing smooth functions as compositions of near-identity functions with implications for deep network optimization cs.LG · 2018 · author #1
  13. Online learning with kernel losses stat.ML · 2018 · author #3
  14. Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks cs.LG · 2018 · author #1
  15. On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo stat.ML · 2018 · author #4
  16. Acceleration and Averaging in Stochastic Mirror Descent Dynamics math.OC · 2017 · author #2
  17. Underdamped Langevin MCMC: A non-asymptotic analysis stat.ML · 2017 · author #3
  18. Recovery Guarantees for One-hidden-layer Neural Networks cs.LG · 2017 · author #4
  19. Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks cs.LG · 2017 · author #1
  20. RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning cs.AI · 2016 · author #4
  21. Hit-and-Run for Sampling and Planning in Non-Convex Spaces stat.CO · 2016 · author #2
  22. FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods math.OC · 2016 · author #4
  23. Linear Programming for Large-Scale Markov Decision Problems math.OC · 2014 · author #2
  24. Bounding Embeddings of VC Classes into Maximum Classes cs.LG · 2014 · author #3
  25. Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions cs.LG · 2013 · author #2
  26. Oracle inequalities for computationally adaptive model selection stat.ML · 2012 · author #2
  27. REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs cs.LG · 2012 · author #1
  28. Randomized Smoothing for Stochastic Optimization math.OC · 2011 · author #2
  29. Blackwell Approachability and Low-Regret Learning are Equivalent cs.LG · 2010 · author #2
  30. Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization stat.ML · 2010 · author #2
  31. A Unifying View of Multiple Kernel Learning stat.ML · 2010 · author #3
  32. A Learning-Based Approach to Reactive Security cs.CR · 2009 · author #6
  33. Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning cs.LG · 2009 · author #2
  34. A Stochastic View of Optimal Regret through Minimax Duality cs.LG · 2009 · author #3
  35. Margin-adaptive model selection in statistical learning math.ST · 2008 · author #2
  36. Discussion of "2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization" by V. Koltchinskii q-fin.RM · 2007 · author #1
  37. Comment on "Support Vector Machines with Applications" math.ST · 2006 · author #1
  38. Local Rademacher complexities math.ST · 2005 · author #1

Mentions

  • 2509.17251 #2 · arxiv_oai · confidence 0.70 Peter L. Bartlett
  • 1402.6763 #2 · arxiv_oai · confidence 0.70 Peter L. Bartlett
  • 1009.0571 #2 · arxiv_oai · confidence 0.70 Peter L. Bartlett
  • 1402.6763 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 1401.7388 #3 · backfill · confidence 0.70 Peter L. Bartlett
  • 1303.3055 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 1208.0129 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 1205.2661 #1 · backfill · confidence 0.70 Peter L. Bartlett
  • 1103.4296 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 1011.1936 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 1009.0571 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 1005.0437 #3 · backfill · confidence 0.70 Peter L. Bartlett
  • 0912.1155 #6 · backfill · confidence 0.70 Peter L. Bartlett
  • 0911.5708 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 0903.5328 #3 · backfill · confidence 0.70 Peter L. Bartlett
  • 0804.2937 #2 · backfill · confidence 0.70 Peter L. Bartlett
  • 0708.0089 #1 · backfill · confidence 0.70 Peter L. Bartlett

Frequent Coauthors