Sarah Filippi
Zitiert von
Zitiert von
Parametric bandits: The generalized linear case
S Filippi, O Cappe, A Garivier, C Szepesvári
Advances in Neural Information Processing Systems, 586-594, 2010
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation
J Liepe, P Kirk, S Filippi, T Toni, CP Barnes, MPH Stumpf
Nature protocols 9 (2), 439-456, 2014
Maximizing the information content of experiments in systems biology
J Liepe, S Filippi, M Komorowski, MPH Stumpf
PLoS Comput Biol 9 (1), e1002888, 2013
Perturbation of fetal liver hematopoietic stem and progenitor cell development by trisomy 21
A Roy, G Cowan, AJ Mead, S Filippi, G Bohn, A Chaidos, O Tunstall, ...
Proceedings of the National Academy of Sciences 109 (43), 17579-17584, 2012
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
S Filippi, CP Barnes, J Cornebise, MPH Stumpf
Statistical Applications in Genetics and Molecular Biology, 1-21, 2011
Optimism in reinforcement learning and Kullback-Leibler divergence
S Filippi, O Cappé, A Garivier
2010 48th Annual Allerton Conference on Communication, Control, and …, 2010
Considerate approaches to constructing summary statistics for ABC model selection
CP Barnes, S Filippi, MPH Stumpf, T Thorne
Statistics and Computing 22 (6), 1181-1197, 2012
Large-scale kernel methods for independence testing
Q Zhang, S Filippi, A Gretton, D Sejdinovic
Statistics and Computing 28 (1), 113-130, 2018
The ecology in the hematopoietic stem cell niche determines the clinical outcome in chronic myeloid leukemia
AL MacLean, S Filippi, MPH Stumpf
Proceedings of the National Academy of Sciences 111 (10), 3883-3888, 2014
Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems
D Silk, S Filippi, MPH Stumpf
Statistical applications in genetics and molecular biology 12 (5), 603-618, 2013
Robustness of MEK-ERK dynamics and origins of cell-to-cell variability in MAPK signaling
S Filippi, CP Barnes, PDW Kirk, T Kudo, K Kunida, SS McMahon, ...
Cell reports 15 (11), 2524-2535, 2016
Information theory and signal transduction systems: from molecular information processing to network inference
SS Mc Mahon, A Sim, S Filippi, R Johnson, J Liepe, D Smith, MPH Stumpf
Seminars in cell & developmental biology 35, 98-108, 2014
A Bayesian nonparametric approach to testing for dependence between random variables
S Filippi, CC Holmes
Bayesian Analysis 12 (4), 919-938, 2017
Bayesian learning of kernel embeddings
S Flaxman, D Sejdinovic, JP Cunningham, S Filippi
arXiv preprint arXiv:1603.02160, 2016
Information processing by simple molecular motifs and susceptibility to noise
SS Mc Mahon, O Lenive, S Filippi, MPH Stumpf
Journal of the Royal Society Interface 12 (110), 20150597, 2015
The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq
QF Wills, E Mellado-Gomez, R Nolan, D Warner, E Sharma, J Broxholme, ...
BMC genomics 18 (1), 1-13, 2017
Stem and progenitor cell dysfunction in human trisomies
B Liu, S Filippi, A Roy, I Roberts
EMBO reports 16 (1), 44-62, 2015
Optimally sensing a single channel without prior information: The tiling algorithm and regret bounds
S Filippi, O Cappé, A Garivier
IEEE Journal of Selected Topics in Signal Processing 5 (1), 68-76, 2010
A near optimal policy for channel allocation in cognitive radio
S Filippi, O Cappé, F Clérot, E Moulines
European Workshop on Reinforcement Learning, 69-81, 2008
Nanog fluctuations in embryonic stem cells highlight the problem of measurement in cell biology
RCG Smith, PS Stumpf, SJ Ridden, A Sim, S Filippi, HA Harrington, ...
Biophysical journal 112 (12), 2641-2652, 2017
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