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Christoph H. Lampert

Identifiers

  • name variant Christoph H. Lampert 0.60 · backfill

Papers (28)

  1. From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD cs.LG · 2026 · author #1
  2. Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning cs.LG · 2026 · author #5
  3. Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention cs.LG · 2026 · author #3
  4. Adaptive Sampling and Clipping for Private Worst-Case Group Optimization cs.LG · 2026 · author #3
  5. DP-{\lambda}CGD: Efficient Noise Correlation for Differentially Private Model Training cs.LG · 2026 · author #4
  6. Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy cs.LG · 2026 · author #4
  7. Strategy Representation by Decision Trees with Linear Classifiers cs.LO · 2019 · author #5
  8. Back to square one: probabilistic trajectory forecasting without bells and whistles cs.LG · 2018 · author #2
  9. Dependency-dependent Bounds for Sums of Dependent Random Variables math.PR · 2018 · author #1
  10. Detecting Visual Relationships Using Box Attention cs.CV · 2018 · author #3
  11. Learning Equations for Extrapolation and Control cs.LG · 2018 · author #2
  12. Probabilistic Image Colorization cs.CV · 2017 · author #3
  13. Data-Dependent Stability of Stochastic Gradient Descent cs.LG · 2017 · author #2
  14. PixelCNN Models with Auxiliary Variables for Natural Image Modeling cs.CV · 2016 · author #2
  15. iCaRL: Incremental Classifier and Representation Learning cs.CV · 2016 · author #4
  16. Extrapolation and learning equations cs.LG · 2016 · author #2
  17. Improving Weakly-Supervised Object Localization By Micro-Annotation cs.CV · 2016 · author #2
  18. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation cs.CV · 2016 · author #2
  19. Multi-Task Learning with Labeled and Unlabeled Tasks stat.ML · 2016 · author #2
  20. Conditional Risk Minimization for Stochastic Processes stat.ML · 2015 · author #2
  21. Identifying Reliable Annotations for Large Scale Image Segmentation cs.CV · 2015 · author #2
  22. Curriculum Learning of Multiple Tasks stat.ML · 2014 · author #3
  23. Learning to Transfer Privileged Information cs.CV · 2014 · author #3
  24. A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle cs.LG · 2014 · author #3
  25. Mind the Nuisance: Gaussian Process Classification using Privileged Noise stat.ML · 2014 · author #4
  26. Predicting the Future Behavior of a Time-Varying Probability Distribution stat.ML · 2014 · author #1
  27. Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation cs.LG · 2014 · author #4
  28. A PAC-Bayesian bound for Lifelong Learning stat.ML · 2013 · author #2

Mentions

  • 1510.02706 #2 · backfill · confidence 0.70 Christoph H. Lampert
  • 1504.07460 #2 · backfill · confidence 0.70 Christoph H. Lampert
  • 1412.1353 #3 · backfill · confidence 0.70 Christoph H. Lampert
  • 1410.0389 #3 · backfill · confidence 0.70 Christoph H. Lampert
  • 1408.6804 #3 · backfill · confidence 0.70 Christoph H. Lampert
  • 1407.0179 #4 · backfill · confidence 0.70 Christoph H. Lampert
  • 1406.5362 #1 · backfill · confidence 0.70 Christoph H. Lampert
  • 1403.7057 #4 · backfill · confidence 0.70 Christoph H. Lampert
  • 1311.2838 #2 · backfill · confidence 0.70 Christoph H. Lampert
  • 2602.10820 #3 · arxiv_oai · confidence 0.70 Christoph H. Lampert
  • 2605.26222 #1 · arxiv_oai · confidence 0.70 Christoph H. Lampert
  • 2605.18379 #5 · arxiv_oai · confidence 0.70 Christoph H. Lampert

Frequent Coauthors