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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
– The 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
– The Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-aos2326)
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Frontpage talks

16
Jul
16:30 - 18:00: Statistics Clinic Summer 2025 I
Cambridge Statistics Clinic
Speaker to be confirmed
Cambridge Statistics Clinic
Speaker to be confirmed
Cambridge Statistics Clinic
Speaker to be confirmed
Cambridge Statistics Clinic
Speaker to be confirmed

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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