pith. sign in

Jonas Peters

Identifiers

  • name variant Jonas Peters 0.60 · backfill

Papers (26)

  1. FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes cs.LG · 2026 · author #5
  2. Prediction-Intervention Games and Invariant Sets stat.ML · 2026 · author #3
  3. Extrapolation Guarantees for Perturbation Modeling Under the Additive Latent Shift Assumption stat.ML · 2025 · author #7
  4. Invariant Causal Prediction for Nonlinear Models stat.ME · 2017 · author #2
  5. Invariant Causal Prediction for Sequential Data math.ST · 2017 · author #3
  6. The Arrow of Time in Multivariate Time Series math.ST · 2016 · author #3
  7. Kernel-based Tests for Joint Independence math.ST · 2016 · author #4
  8. Invariant Models for Causal Transfer Learning stat.ML · 2015 · author #4
  9. backShift: Learning causal cyclic graphs from unknown shift interventions stat.ME · 2015 · author #3
  10. Removing systematic errors for exoplanet search via latent causes stat.ML · 2015 · author #7
  11. Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations stat.ML · 2015 · author #4
  12. Distinguishing cause from effect using observational data: methods and benchmarks cs.LG · 2014 · author #2
  13. On the Intersection Property of Conditional Independence and its Application to Causal Discovery math.PR · 2014 · author #1
  14. CAM: Causal additive models, high-dimensional order search and penalized regression stat.ME · 2013 · author #2
  15. Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders cs.LG · 2013 · author #3
  16. Causal Discovery with Continuous Additive Noise Models stat.ML · 2013 · author #1
  17. Structural Intervention Distance (SID) for Evaluating Causal Graphs stat.ML · 2013 · author #1
  18. Counterfactual Reasoning and Learning Systems cs.LG · 2012 · author #2
  19. Causal Inference on Time Series using Structural Equation Models stat.ML · 2012 · author #1
  20. Identifiability of Gaussian structural equation models with equal error variances stat.ML · 2012 · author #1
  21. Identifying confounders using additive noise models stat.ML · 2012 · author #2
  22. Detecting low-complexity unobserved causes cs.LG · 2012 · author #4
  23. Identifiability of Causal Graphs using Functional Models cs.LG · 2012 · author #1
  24. Kernel-based Conditional Independence Test and Application in Causal Discovery cs.LG · 2012 · author #2
  25. Robust Learning via Cause-Effect Models stat.ML · 2011 · author #3
  26. Causal Inference on Discrete Data using Additive Noise Models stat.ML · 2009 · author #1

Mentions

  • 1306.1043 #1 · backfill · confidence 0.70 Jonas Peters
  • 1209.2355 #2 · backfill · confidence 0.70 Jonas Peters
  • 1207.5136 #1 · backfill · confidence 0.70 Jonas Peters
  • 1205.2640 #2 · backfill · confidence 0.70 Jonas Peters
  • 1205.2536 #1 · backfill · confidence 0.70 Jonas Peters
  • 1202.3775 #2 · backfill · confidence 0.70 Jonas Peters
  • 1202.3757 #1 · backfill · confidence 0.70 Jonas Peters
  • 1202.3737 #4 · backfill · confidence 0.70 Jonas Peters
  • 1112.2738 #3 · backfill · confidence 0.70 Jonas Peters
  • 2605.19812 #5 · arxiv_oai · confidence 0.70 Jonas Peters
  • 2605.16828 #3 · arxiv_oai · confidence 0.70 Jonas Peters
  • 2504.18522 #7 · arxiv_oai · confidence 0.70 Jonas Peters
  • 0911.0280 #1 · backfill · confidence 0.70 Jonas Peters

Frequent Coauthors