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  • Currently displaying 1 - 20 of 2046 publications
Percolation transition for random forests in $d\geq 3$
R Bauerschmidt, N Crawford, T Helmuth
– Inventiones Mathematicae
(2024)
1
Selective Randomization Inference for Adaptive Experiments
T Freidling, Q Zhao, Z Gao
(2024)
Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift
M Grayling, S Thorp, KS Mandel, S Dhawan, ASM Uzsoy, BM Boyd, EE Hayes, SM Ward
– Monthly Notices of the Royal Astronomical Society
(2024)
531,
953
Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
C Bartels, M Scauda, N Coello, T Dumortier, B Bornkamp, G Moffa
(2024)
gausSN: Bayesian time-delay estimation for strongly lensed supernovae
EE Hayes, S Thorp, KS Mandel, N Arendse, M Grayling, S Dhawan
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
3942
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
– Mathematical Programming Computation
(2024)
1
Bayesian Nonparametric Inference in McKean-Vlasov models
R Nickl, GA Pavliotis, K Ray
(2024)
Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies
S Thorp, KS Mandel, DO Jones, RP Kirshner, PM Challis
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
4016
Dominic Welsh (1938-2023)
GR Grimmett
(2024)
Entropic regularization of neural networks: Self-similar approximations
AR Asadi, PL Loh
– Journal of Statistical Planning and Inference
(2024)
233,
106181
Finite-sample expansions for the optimal error probability in asymmetric binary hypothesis testing
V Lungu, I Kontoyiannis
(2024)
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
K Karchev, M Grayling, BM Boyd, R Trotta, KS Mandel, C Weniger
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
3881
Relative entropy bounds for sampling with and without replacement
O Johnson, L Gavalakis, I Kontoyiannis
(2024)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Trans Neural Netw Learn Syst
(2024)
35,
5306
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
AI Aviles-Rivero, C-W Cheng, Z Deng, Z Kourtzi, C-B Schönlieb
(2024)
Quantitative De Giorgi methods in kinetic theory for non-local operators
A Loher
– Journal of Functional Analysis
(2024)
286,
110312
The entropic doubling constant and robustness of Gaussian codebooks for additive-noise channels
L Gavalakis, I Kontoyiannis, M Madiman
(2024)
Stability of Regularized Hastings–Levitov Aggregation in the Subcritical Regime
J Norris, V Silvestri, A Turner
– Communications in Mathematical Physics
(2024)
405,
74
Stability of regularized Hastings-Levitov aggregation in the subcritical regime
J Norris, V Silvestri, A Turner
– Communications in Mathematical Physics
(2024)
405,
74

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