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2020 – today
- 2024
[c8]Michael Komodromos, Marina Evangelou, Sarah Filippi:
Logistic Variational Bayes Revisited. ICML 2024- [i9]James Odgers, Chrysoula Kappatou, Ruth Misener, Sarah Filippi:
Mixed-Output Gaussian Process Latent Variable Models. CoRR abs/2402.09122 (2024) - [i8]Michael Komodromos, Marina Evangelou, Sarah Filippi:
Logistic Variational Bayes Revisited. CoRR abs/2406.00713 (2024) - [i7]Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk:
"How Big is Big Enough?" Adjusting Model Size in Continual Gaussian Processes. CoRR abs/2408.07588 (2024) - 2023
- [j9]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) - [j8]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: 107658 (2023) - [c7]Benjamin Howson, Ciara Pike-Burke, Sarah Filippi:
Optimism and Delays in Episodic Reinforcement Learning. AISTATS 2023: 6061-6094 - [c6]Benjamin Howson, Ciara Pike-Burke, Sarah Filippi:
Delayed Feedback in Generalised Linear Bandits Revisited. AISTATS 2023: 6095-6119 - 2022
- [j7]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): 3918-3926 (2022) - [j6]Qinyi Zhang, Veit Wild, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic:
Bayesian Kernel Two-Sample Testing. J. Comput. Graph. Stat. 31(4): 1164-1176 (2022) - [i6]Benjamin Howson, Ciara Pike-Burke, Sarah Filippi:
Delayed Feedback in Generalised Linear Bandits Revisited. CoRR abs/2207.10786 (2022) - 2021
- [i5]Benjamin Howson, Ciara Pike-Burke, Sarah Filippi:
Delayed Feedback in Episodic Reinforcement Learning. CoRR abs/2111.07615 (2021) - 2020
- [i4]Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi:
BART-based inference for Poisson processes. CoRR abs/2005.07927 (2020)
2010 – 2019
- 2019
- [i3]Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford:
Interpreting Deep Neural Networks Through Variable Importance. CoRR abs/1901.09839 (2019) - 2018
- [j5]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): 1249-1250 (2018) - [j4]Qinyi Zhang, Sarah Filippi, Arthur Gretton, Dino Sejdinovic:
Large-scale kernel methods for independence testing. Stat. Comput. 28(1): 113-130 (2018) - 2017
- [c5]Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic:
Feature-to-Feature Regression for a Two-Step Conditional Independence Test. UAI 2017 - 2016
- [c4]Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi:
Bayesian Learning of Kernel Embeddings. UAI 2016 - 2013
- [j3]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) - 2012
- [j2]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): 1181-1197 (2012) - 2011
- [j1]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): 68-76 (2011) - 2010
- [b1]Sarah Filippi:
Stratégies optimistes en apprentissage par renforcement. (Optimistic strategies in Reinforcement Learning). Télécom ParisTech, France, 2010 - [c3]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Optimism in reinforcement learning and Kullback-Leibler divergence. Allerton 2010: 115-122 - [c2]Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári:
Parametric Bandits: The Generalized Linear Case. NIPS 2010: 586-594 - [i2]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence. CoRR abs/1004.5229 (2010)
2000 – 2009
- 2009
- [i1]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Regret Bounds for Opportunistic Channel Access. CoRR abs/0908.0319 (2009) - 2008
- [c1]Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines:
A Near Optimal Policy for Channel Allocation in Cognitive Radio. EWRL 2008: 69-81
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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