Sarah Filippi

According to our database, Sarah Filippi authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

"How Big is Big Enough?" Adjusting Model Size in Continual Gaussian Processes.

Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk

CoRR, 2024

Mixed-Output Gaussian Process Latent Variable Models.

James Odgers, Chrysoula Kappatou, Ruth Misener, Sarah Filippi

CoRR, 2024

Logistic Variational Bayes Revisited.

Michael Komodromos, Marina Evangelou, Sarah Filippi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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., October, 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., April, 2023

Delayed Feedback in Generalised Linear Bandits Revisited.

Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Optimism and Delays in Episodic Reinforcement Learning.

Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Bayesian Kernel Two-Sample Testing.

Qinyi Zhang, Veit Wild, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic

J. Comput. Graph. Stat., October, 2022

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

2021

Delayed Feedback in Episodic Reinforcement Learning.

Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

CoRR, 2021

2019

Interpreting Deep Neural Networks Through Variable Importance.

Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford

CoRR, 2019

2018

Large-scale kernel methods for independence testing.

Qinyi Zhang, Sarah Filippi, Arthur Gretton, Dino Sejdinovic

Stat. Comput., 2018

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

2017

Feature-to-Feature Regression for a Two-Step Conditional Independence Test.

Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

Bayesian Learning of Kernel Embeddings.

Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2013

Maximizing the Information Content of Experiments in Systems Biology.

Juliane Liepe, Sarah Filippi, Michal Komorowski, Michael P. H. Stumpf

PLoS Comput. Biol., 2013

2012

Considerate approaches to constructing summary statistics for ABC model selection.

Chris P. Barnes, Sarah Filippi, Michael P. H. Stumpf, Thomas Thorne

Stat. Comput., 2012

2011

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

2010

Stratégies optimistes en apprentissage par renforcement. (Optimistic strategies in Reinforcement Learning).

Sarah Filippi

PhD thesis, 2010

Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence

Sarah Filippi, Olivier Cappé, Aurélien Garivier

CoRR, 2010

Parametric Bandits: The Generalized Linear Case.

Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Optimism in reinforcement learning and Kullback-Leibler divergence.

Sarah Filippi, Olivier Cappé, Aurélien Garivier

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Regret Bounds for Opportunistic Channel Access

Sarah Filippi, Olivier Cappé, Aurélien Garivier

CoRR, 2009

2008

A Near Optimal Policy for Channel Allocation in Cognitive Radio.

Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008