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Statistical Laboratory

Professor Richard Samworth

Publications

Deep learning with missing data
T Ma, T Wang, RJ Samworth
(2025)
(link to publication)
Testing conditional independence under isotonicity
R Hore, JA Soloff, RF Barber, RJ Samworth
(2025)
(link to publication)
The projected covariance measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
– The Annals of Statistics
(2024)
52,
2851
(doi: 10.1214/24-AOS2447)
Estimation beyond Missing (Completely) at Random
T Ma, KA Verchand, TB Berrett, T Wang, RJ Samworth
(2024)
(link to publication)
High-probability minimax lower bounds
T Ma, KA Verchand, RJ Samworth
(2024)
(link to publication)
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.
T Wang, E Dobriban, M Gataric, R Samworth
– Journal of the American Statistical Association
(2024)
120,
395
(doi: 10.1080/01621459.2024.2340792)
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
– Mathematical Programming Computation
(2024)
16,
185
(doi: 10.1007/s12532-024-00252-0)
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
(link to publication)
Optimal subgroup selection
HWJ Reeve, TI Cannings, RJ Samworth
– Annals of Statistics
(2023)
51,
2342
(doi: 10.1214/23-AOS2328)
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
TB Berrett, RJ Samworth
– Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-AOS2326)
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Frontpage talks

Cambridge Statistics Clinic
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Cambridge Statistics Clinic
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Cambridge Statistics Clinic
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Research Group

Statistical Laboratory

Email

r.samworth@statslab.cam.ac.uk

Room

D1.18

Telephone

01223 337950

Personal homepage

https://www.dpmms.cam.ac.uk/~rjs57

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