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  • Currently displaying 1 - 20 of 1953 publications
Central limit theorems for discretized occupation time functionals
R Altmeyer
– Stochastic Processes and their Applications
(2023)
156,
101
The Coleman correspondence at the free fermion point
R Bauerschmidt, C Webb
(2022)
High‐dimensional principal component analysis with heterogeneous missingness
Z Zhu, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2022)
High‐dimensional principal component analysis with heterogeneous missingness
Z Zhu, T Wang, RJ Samworth
– Journal of the Royal Statistical Society: Series B (Statistical Methodology)
(2022)
Variable elimination, graph reduction and efficient g-formula
FR Guo, E Perković, A Rotnitzky
– Biometrika
(2022)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
L Liu, J Prost, L Zhu, N Papadakis, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2022)
Context-tree weighting and Bayesian Context Trees: Asymptotic and non-asymptotic justifications
I Kontoyiannis
(2022)
Optimal parameter estimation for linear SPDEs from multiple measurements
R Altmeyer, A Tiepner, M Wahl
(2022)
The Projected Covariance Measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
(2022)
Conditional independence testing in Hilbert spaces with applications to functional data analysis
AR Lundborg, RD Shah, J Peters
– Journal of the Royal Statistical Society. Series B: Statistical Methodology
(2022)
84,
1821
A unified analysis of regression adjustment in randomized experiments
K Reluga, T Ye, Q Zhao
(2022)
Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves
S Thorp, KS Mandel
– Monthly Notices of the Royal Astronomical Society
(2022)
517,
2360
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2022)
PP,
1
Real-time detection of anomalies in large-scale transient surveys
D Muthukrishna, KS Mandel, M Lochner, S Webb, G Narayan
– Monthly Notices of the Royal Astronomical Society
(2022)
517,
393
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
(2022)
Almost exact Mendelian randomization
MJ Tudball, GD Smith, Q Zhao
(2022)
Confounder Selection: Objectives and Approaches
FR Guo, AR Lundborg, Q Zhao
(2022)
Polynomial time guarantees for sampling based posterior inference in high-dimensional generalised linear models
R Altmeyer
(2022)

Frontpage talks

18
Jan
Cambridge Statistics Clinic

17
Oct
14:00 - 15:00: Title to be confirmed
Probability

18
Oct
17:00 - 18:00: Title to be confirmed
Peter Whittle Lecture