Sarah Filippi

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 16

Top Venues

Télécom ParisTech, France (PHD)

Education History

Télécom ParisTech, France

PHD

Publications

Michael Komodromos, Marina Evangelou, Sarah Filippi
Logistic Variational Bayes Revisited. CoRR (2024)
James Odgers, Chrysoula Kappatou, Ruth Misener, Sarah Filippi
Mixed-Output Gaussian Process Latent Variable Models. CoRR (2024)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Optimism and Delays in Episodic Reinforcement Learning. AISTATS (2023)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Delayed Feedback in Generalised Linear Bandits Revisited. AISTATS (2023)
Barbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues, Sarah Filippi, Julien Chiquet, Marc Chadeau-Hyam
Automated calibration of consensus weighted distance-based clustering approaches using sharp. Bioinform. 39 (10) (2023)
Stamatina Lamprinakou, Mauricio Barahona, Seth R. Flaxman, Sarah Filippi, Axel Gandy, Emma J. McCoy
BART-based inference for Poisson processes. Comput. Stat. Data Anal. 180 (2023)
Qinyi Zhang, Veit Wild, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic
Bayesian Kernel Two-Sample Testing. J. Comput. Graph. Stat. 31 (4) (2022)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Delayed Feedback in Generalised Linear Bandits Revisited. CoRR (2022)
Michael Komodromos, Eric O. Aboagye, Marina Evangelou, Sarah Filippi, Kolyan Ray
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression. Bioinform. 38 (16) (2022)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Delayed Feedback in Episodic Reinforcement Learning. CoRR (2021)
Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi
BART-based inference for Poisson processes. CoRR (2020)
Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford
Interpreting Deep Neural Networks Through Variable Importance. CoRR (2019)
Qinyi Zhang, Sarah Filippi, Arthur Gretton, Dino Sejdinovic
Large-scale kernel methods for independence testing. Stat. Comput. 28 (1) (2018)
Leander Dony, Jonas Mackerodt, Scott Ward, Sarah Filippi, Michael P. H. Stumpf, Juliane Liepe
PEITH(Θ): perfecting experiments with information theory in Python with GPU support. Bioinform. 34 (7) (2018)
Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic
Feature-to-Feature Regression for a Two-Step Conditional Independence Test. UAI (2017)
Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi
Bayesian Learning of Kernel Embeddings. UAI (2016)
Juliane Liepe, Sarah Filippi, Michal Komorowski, Michael P. H. Stumpf
Maximizing the Information Content of Experiments in Systems Biology. PLoS Comput. Biol. 9 (1) (2013)
Chris P. Barnes, Sarah Filippi, Michael P. H. Stumpf, Thomas Thorne
Considerate approaches to constructing summary statistics for ABC model selection. Stat. Comput. 22 (6) (2012)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE J. Sel. Top. Signal Process. 5 (1) (2011)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Optimism in reinforcement learning and Kullback-Leibler divergence. Allerton (2010)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence CoRR (2010)
Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári
Parametric Bandits: The Generalized Linear Case. NIPS (2010)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Regret Bounds for Opportunistic Channel Access CoRR (2009)
Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines
A Near Optimal Policy for Channel Allocation in Cognitive Radio. EWRL (2008)

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Publication Activity (10 Years)

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Sarah Filippi