Sarah Filippi

Orcid: 0000-0001-8652-358X

According to our database1, Sarah Filippi authored at least 22 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Mixed-Output Gaussian Process Latent Variable Models.
CoRR, 2024

2023
Automated calibration of consensus weighted distance-based clustering approaches using sharp.
Bioinform., October, 2023

BART-based inference for Poisson processes.
Comput. Stat. Data Anal., April, 2023

Delayed Feedback in Generalised Linear Bandits Revisited.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Optimism and Delays in Episodic Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Bayesian Kernel Two-Sample Testing.
J. Comput. Graph. Stat., October, 2022

Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.
Bioinform., 2022

2021
Delayed Feedback in Episodic Reinforcement Learning.
CoRR, 2021

2019
Interpreting Deep Neural Networks Through Variable Importance.
CoRR, 2019

2018
Large-scale kernel methods for independence testing.
Stat. Comput., 2018

PEITH(Θ): perfecting experiments with information theory in Python with GPU support.
Bioinform., 2018

2017
Feature-to-Feature Regression for a Two-Step Conditional Independence Test.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016
Bayesian Learning of Kernel Embeddings.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2013
Maximizing the Information Content of Experiments in Systems Biology.
PLoS Comput. Biol., 2013

2012
Considerate approaches to constructing summary statistics for ABC model selection.
Stat. Comput., 2012

2011
Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds.
IEEE J. Sel. Top. Signal Process., 2011

2010
Stratégies optimistes en apprentissage par renforcement. (Optimistic strategies in Reinforcement Learning).
PhD thesis, 2010

Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
CoRR, 2010

Parametric Bandits: The Generalized Linear Case.
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.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Regret Bounds for Opportunistic Channel Access
CoRR, 2009

2008
A Near Optimal Policy for Channel Allocation in Cognitive Radio.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008


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