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Nathan Kallus

6 papers hereh-index 229 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • stat.ML4
  • cs.LG1
  • stat.AP1
same name
  • Nathan Kallus — 29 papers, h 39
  • Nathan Kallus — 27 papers, h 10
  • Nathan Kallus — 1 paper, h 11
  • Nathan Kallus — 1 paper, h 9
  • Nathan Kallus — 1 paper, h 1
  • Nathan Kallus — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing stat.MLShow all

4 papers · 1 filter

stat.ML2026

Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions

Zikai Shen, Nathan Kallus, Dimitri Meunier +3

We consider debiased inference on finite-dimensional functionals of infinite-dimensional least-squares solutions to inverse problems as a way to avoid having to assume exact soluti…

stat.ML2026

Functional Natural Policy Gradients

Aurelien Bibaut, Houssam Zenati, Thibaud Rahier +1

We propose a cross-fitted debiasing device for policy learning from offline data. A key consequence of the resulting learning principle is N​ regret even for policy classes…

stat.ML2026

Fast Best-in-Class Regret for Contextual Bandits

Samuel Girard, Aurelien Bibaut, Arthur Gretton +2

We study the problem of stochastic contextual bandits in the agnostic setting, where the goal is to compete with the best policy in a given class without assuming realizability or…

stat.ML2026

Efficient Inference after Directionally Stable Adaptive Experiments

Zikai Shen, Houssam Zenati, Nathan Kallus +3

We study inference on scalar-valued pathwise differentiable targets after adaptive data collection, such as a bandit algorithm. We introduce a novel target-specific condition, dire…

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