Antoine Chambaz

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Antoine Chambaz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. M. J. van der Laan
  2. Alexandre B. Tsybakov
  3. Victor Chernozhukov
  4. Donald B. Rubin
  5. Peter L. Bartlett
  6. Susan Athey
  7. Jean-Yves Audibert
  8. Sherri Rose

Papers from Antoine Chambaz's perspective

Ordered by how strongly the researchers Antoine Chambaz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Optimal aggregation of classifiers in statistical learning
  2. Targeted Learning: Causal Inference for Observational and Experimental Data
  3. Estimating Optimal Treatment Regimes from a Classification Perspective
  4. Double machine learning for treatment and causal parameters
  5. Weak Convergence and Empirical Processes: With Applications to Statistics
  6. Unified Methods for Censored Longitudinal Data and Causality
  7. Fast learning rates for plug-in classifiers
  8. Targeted Maximum Likelihood Learning
  9. Estimating Individualized Treatment Rules Using Outcome Weighted Learning
  10. Local Rademacher complexities and oracle inequalities in risk minimization

Their papers