Sarah Filippi - RankMe

32 papers A* 2A 6Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough? ICML Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
2025	A	`conf`	QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits. AISTATS Benjamin Howson, Sarah Filippi, Ciara Pike-Burke
2025	J	`jnl`	Stability Selection and Consensus Clustering in J. Stat. Softw. Barbara Bodinier, Sabrina Rodrigues, Maryam Karimi, Sarah Filippi, Julien Chiquet, Marc Chadeau-Hyam
2025	A	`conf`	Weighted Sum of Gaussian Process Latent Variable Models. AISTATS James Odgers, Ruby Sedgwick, Chrysoula Kappatou, Ruth Misener, Sarah Filippi
2024	J	`jnl`	"How Big is Big Enough?" Adjusting Model Size in Continual Gaussian Processes. CoRR Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
2024	A*	`conf`	Logistic Variational Bayes Revisited. ICML Michael Komodromos, Marina Evangelou, Sarah Filippi
2024	J	`jnl`	Logistic Variational Bayes Revisited. CoRR Michael Komodromos, Marina Evangelou, Sarah Filippi
2024	J	`jnl`	Mixed-Output Gaussian Process Latent Variable Models. CoRR James Odgers, Chrysoula Kappatou, Ruth Misener, Sarah Filippi
2024	J	`jnl`	QuACK: A Multipurpose Queuing Algorithm for Cooperative CoRR Benjamin Howson, Sarah Filippi, Ciara Pike-Burke
2023	J	`jnl`	Automated calibration of consensus weighted distance-based clustering approaches using sharp. Bioinform. Barbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues, Sarah Filippi, Julien Chiquet, Marc Chadeau-Hyam
2023	J	`jnl`	BART-based inference for Poisson processes. Comput. Stat. Data Anal. Stamatina Lamprinakou, Mauricio Barahona, Seth R. Flaxman, Sarah Filippi, Axel Gandy, Emma J. McCoy
2023	A	`conf`	Delayed Feedback in Generalised Linear Bandits Revisited. AISTATS Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2023	A	`conf`	Optimism and Delays in Episodic Reinforcement Learning. AISTATS Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2022	J	`jnl`	Bayesian Kernel Two-Sample Testing. J. Comput. Graph. Stat. Qinyi Zhang, Veit Wild, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic
2022	J	`jnl`	Delayed Feedback in Generalised Linear Bandits Revisited. CoRR Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2022	J	`jnl`	Variational Bayes for high-dimensional proportional hazards models with applications within gene expression. Bioinform. Michael Komodromos, Eric O. Aboagye, Marina Evangelou, Sarah Filippi, Kolyan Ray
2021	J	`jnl`	Delayed Feedback in Episodic Reinforcement Learning. CoRR Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2020	J	`jnl`	BART-based inference for Poisson processes. CoRR Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi
2019	J	`jnl`	Interpreting Deep Neural Networks Through Variable Importance. CoRR Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford
2018	J	`jnl`	Large-scale kernel methods for independence testing. Stat. Comput. Qinyi Zhang, Sarah Filippi, Arthur Gretton, Dino Sejdinovic
2018	J	`jnl`	PEITH(Θ): perfecting experiments with information theory in Python with GPU support. Bioinform. Leander Dony, Jonas Mackerodt, Scott Ward, Sarah Filippi, Michael P. H. Stumpf, Juliane Liepe
2017	A	`conf`	Feature-to-Feature Regression for a Two-Step Conditional Independence Test. UAI Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic
2016	A	`conf`	Bayesian Learning of Kernel Embeddings. UAI Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi
2013	J	`jnl`	Maximizing the Information Content of Experiments in Systems Biology. PLoS Comput. Biol. Juliane Liepe, Sarah Filippi, Michal Komorowski, Michael P. H. Stumpf
2012	J	`jnl`	Considerate approaches to constructing summary statistics for ABC model selection. Stat. Comput. Chris P. Barnes, Sarah Filippi, Michael P. H. Stumpf, Thomas Thorne
2011	J	`jnl`	Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE J. Sel. Top. Signal Process. Sarah Filippi, Olivier Cappé, Aurélien Garivier
2010	J	`jnl`	Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence CoRR Sarah Filippi, Olivier Cappé, Aurélien Garivier
2010	—	`conf`	Optimism in reinforcement learning and Kullback-Leibler divergence. Allerton Sarah Filippi, Olivier Cappé, Aurélien Garivier
2010	—	`conf`	Parametric Bandits: The Generalized Linear Case. NIPS Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári
2010	—	`—`	Stratégies optimistes en apprentissage par renforcement. (Optimistic strategies in Reinforcement Learning). Sarah Filippi
2009	J	`jnl`	Regret Bounds for Opportunistic Channel Access CoRR Sarah Filippi, Olivier Cappé, Aurélien Garivier
2008	—	`conf`	A Near Optimal Policy for Channel Allocation in Cognitive Radio. EWRL Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines