Professor Richard Samworth

Professor of Statistics and Director of Statistical Laboratory

Research Interests: Nonparametric and high-dimensional statistics

Publications

Deep learning with missing data

T Ma, T Wang, RJ Samworth

– Journal of the Royal Statistical Society Series B Statistical Methodology

(2026)

qkag114

(doi: 10.1093/jrsssb/qkag114)

Nonparametric Inference under Shape Constraints: Past, Present, and Future

RJ Samworth

– Proceedings of the International Congress of Mathematicians 2026 - Volume 7: Invited Lectures (Sections 15–20)

(2026)

424

(doi: 10.1137/25M1805369)

Efficient and minimax optimal in-context nonparametric regression with transformers

M Ching, I Popescu, N Smith, T Ma, W Underwood, R Samworth

(2026)

(doi: 10.17863/CAM.130396)

Tracking the evolution of biomarker efficacy in SARS-CoV-2: a global meta-analyses series.

MR Shuvo, M Schwiening, N Avramidis, F Soares, O Feng, S Abreu, N Veale, W Thomas, AAR Thompson, RJ Samworth, NW Morrell, MG Semple, K Baillie, SJ Marciniak, E Soon

– Respiratory Research

(2026)

27,

265

(doi: 10.1186/s12931-026-03656-9)

Outrigger local polynomial regression

EH Young, RD Shah, RJ Samworth

(2026)

(link to publication)

Optimal convex M-estimation via score matching

OY Feng, Y-C Kao, M Xu, RJ Samworth

– The Annals of Statistics

(2026)

54,

408

(doi: 10.1214/25-AOS2572)

Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers

M Ching, I Popescu, N Smith, T Ma, WG Underwood, RJ Samworth

(2026)

(link to publication)

Data-driven controlled subgroup selection in clinical trials

MM Müller, B Bornkamp, F Bretz, TI Cannings, W Liu, HWJ Reeve, RJ Samworth, N Sfikas, F Wan, K Sechidis

(2025)

(link to publication)

Learning the score under shape constraints

RM Lewis, OY Feng, HWJ Reeve, M Xu, RJ Samworth

(2025)

(link to publication)

Optimal In-context Adaptivity and Distributional Robustness of Transformers

T Ma, T Wang, RJ Samworth

(2025)

(link to publication)

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