A Near Optimal Policy for Channel Allocation in Cognitive Radio. - Sarah Filippi; Olivier Cappé; Fabrice Clérot; Eric Moulines (EWRL, 2008)

Regret Bounds for Opportunistic Channel Access - Sarah Filippi; Olivier Cappé; Aurélien Garivier (CoRR, 2009)

Optimism in reinforcement learning and Kullback-Leibler divergence. - Sarah Filippi; Olivier Cappé; Aurélien Garivier (Allerton, 2010)

Parametric Bandits: The Generalized Linear Case. - Sarah Filippi; Olivier Cappé; Aurélien Garivier; Csaba Szepesvári (NIPS, 2010)

Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence - Sarah Filippi; Olivier Cappé; Aurélien Garivier (CoRR, 2010)

Stratégies optimistes en apprentissage par renforcement. (Optimistic strategies in Reinforcement Learning). - Sarah Filippi (2010)

Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. - Sarah Filippi; Olivier Cappé; Aurélien Garivier (IEEE J. Sel. Top. Signal Process., 2011)

Considerate approaches to constructing summary statistics for ABC model selection. - Chris P. Barnes; Sarah Filippi; Michael P. H. Stumpf; Thomas Thorne (Stat. Comput., 2012)

Maximizing the Information Content of Experiments in Systems Biology. - Juliane Liepe; Sarah Filippi; Michal Komorowski; Michael P. H. Stumpf (PLoS Comput. Biol., 2013)

Bayesian Learning of Kernel Embeddings. - Seth R. Flaxman; Dino Sejdinovic; John P. Cunningham; Sarah Filippi (UAI, 2016)

Feature-to-Feature Regression for a Two-Step Conditional Independence Test. - Qinyi Zhang; Sarah Filippi; Seth R. Flaxman; Dino Sejdinovic (UAI, 2017)

PEITH(Θ): perfecting experiments with information theory in Python with GPU support. - Leander Dony; Jonas Mackerodt; Scott Ward; Sarah Filippi; Michael P. H. Stumpf; Juliane Liepe (Bioinform., 2018)

Large-scale kernel methods for independence testing. - Qinyi Zhang; Sarah Filippi; Arthur Gretton; Dino Sejdinovic (Stat. Comput., 2018)

Interpreting Deep Neural Networks Through Variable Importance. - Jonathan Ish-Horowicz; Dana Udwin; Seth R. Flaxman; Sarah Filippi; Lorin Crawford (CoRR, 2019)

Delayed Feedback in Episodic Reinforcement Learning. - Benjamin Howson; Ciara Pike-Burke; Sarah Filippi (CoRR, 2021)

Variational Bayes for high-dimensional proportional hazards models with applications within gene expression. - Michael Komodromos; Eric O. Aboagye; Marina Evangelou; Sarah Filippi; Kolyan Ray (Bioinform., 2022)

Bayesian Kernel Two-Sample Testing. - Qinyi Zhang; Veit Wild; Sarah Filippi; Seth R. Flaxman; Dino Sejdinovic (J. Comput. Graph. Stat., 2022)

Optimism and Delays in Episodic Reinforcement Learning. - Benjamin Howson; Ciara Pike-Burke; Sarah Filippi (AISTATS, 2023)

Delayed Feedback in Generalised Linear Bandits Revisited. - Benjamin Howson; Ciara Pike-Burke; Sarah Filippi (AISTATS, 2023)

BART-based inference for Poisson processes. - Stamatina Lamprinakou; Mauricio Barahona; Seth R. Flaxman; Sarah Filippi; Axel Gandy; Emma J. McCoy (Comput. Stat. Data Anal., 2023)

Automated calibration of consensus weighted distance-based clustering approaches using sharp. - Barbara Bodinier; Dragana Vuckovic; Sabrina Rodrigues; Sarah Filippi; Julien Chiquet; Marc Chadeau-Hyam (Bioinform., 2023)

Logistic Variational Bayes Revisited. - Michael Komodromos; Marina Evangelou; Sarah Filippi (ICML, 2024)

Mixed-Output Gaussian Process Latent Variable Models. - James Odgers; Chrysoula Kappatou; Ruth Misener; Sarah Filippi (CoRR, 2024)

"How Big is Big Enough?" Adjusting Model Size in Continual Gaussian Processes. - Guiomar Pescador-Barrios; Sarah Filippi; Mark van der Wilk (CoRR, 2024)

QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits. - Benjamin Howson; Sarah Filippi; Ciara Pike-Burke (CoRR, 2024)

QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits. - Benjamin Howson; Sarah Filippi; Ciara Pike-Burke (AISTATS, 2025)

Weighted Sum of Gaussian Process Latent Variable Models. - James Odgers; Ruby Sedgwick; Chrysoula Kappatou; Ruth Misener; Sarah Filippi (AISTATS, 2025)

Stability Selection and Consensus Clustering in R: The R Package sharp. - Barbara Bodinier; Sabrina Rodrigues; Maryam Karimi; Sarah Filippi; Julien Chiquet; Marc Chadeau-Hyam (J. Stat. Softw., 2025)