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researcher

K. Law

65 papers hereh-index 293.4k citations114 works total

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

author position
  • sole author1
  • first author14
  • middle author43
  • last author6

Across the 64 of 65 papers where every author was matched, so the position is known.

fields
  • stat.CO16
  • nlin.PS9
  • math.NA8
  • math.PR6
  • math.DS3
  • math.OC3
same name
  • K. Law — 13 papers, h 11
  • K. Law — 8 papers, h 3
  • K. Law — 6 papers, h 51
  • K. Law — 2 papers, h 2
  • K. Law — 2 papers, h 6
  • K. Law — 2 papers, h 4

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

activity
20082022
most citedThe Ensemble Kalman Filter for Inverse Problems

447 citations · 2.5k across the 63 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

stat.CO2021

Randomized multilevel Monte Carlo for embarrassingly parallel inference

Ajay Jasra, Kody J. H. Law, Alexander Tarakanov +1

This position paper summarizes a recently developed research program focused on inference in the context of data centric science and engineering applications, and forecasts its tra…

stat.CO2021★ 1 cited

On Unbiased Estimation for Discretized Models

Jeremy Heng, Ajay Jasra, Kody J. H. Law +1

In this article, we consider computing expectations w.r.t. probability measures which are subject to discretization error. Examples include partially observed diffusion processes o…

stat.CO2021★ 6 cited

Sparse online variational Bayesian regression

Kody J. H. Law, Vitaly Zankin

This work considers variational Bayesian inference as an inexpensive and scalable alternative to a fully Bayesian approach in the context of sparsity-promoting priors. In particula…

cond-mat.mtrl-sci2021★ 13 cited

Materials Fingerprinting Classification

Adam Spannaus, Kody J. H. Law, Piotr Luszczek +6

Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional c…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.