Freddie Bickford Smith

14 papers A* 2A 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design. CoRR Deepro Choudhury, Sinead Williamson, Adam Golinski, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth
2025	J	`jnl`	Prediction-Oriented Subsampling from Data Streams. CoRR Benedetta Lavinia Mussati, Freddie Bickford Smith, Tom Rainforth, Stephen Roberts
2025	A*	`conf`	Rethinking Aleatoric and Epistemic Uncertainty. ICML Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth
2025	J	`jnl`	Scaling Up Active Testing to Large Language Models. CoRR Gabrielle Berrada, Jannik Kossen, Muhammed Razzak, Freddie Bickford Smith, Yarin Gal, Tom Rainforth
2024	A	`conf`	Making Better Use of Unlabelled Data in Bayesian Active Learning. AISTATS Freddie Bickford Smith, Adam Foster, Tom Rainforth
2024	J	`jnl`	Making Better Use of Unlabelled Data in Bayesian Active Learning. CoRR Freddie Bickford Smith, Adam Foster, Tom Rainforth
2024	J	`jnl`	Rethinking Aleatoric and Epistemic Uncertainty. CoRR Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth
2023	J	`jnl`	Continual Learning via Sequential Function-Space Variational Inference. CoRR Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal
2023	J	`jnl`	Modern Bayesian Experimental Design. CoRR Tom Rainforth, Adam Foster, Desi R. Ivanova, Freddie Bickford Smith
2023	A	`conf`	Prediction-Oriented Bayesian Active Learning. AISTATS Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth
2023	J	`jnl`	Prediction-Oriented Bayesian Active Learning. CoRR Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth
2022	A*	`conf`	Continual Learning via Sequential Function-Space Variational Inference. ICML Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal
2021	J	`jnl`	Understanding top-down attention using task-oriented ablation design. CoRR Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love
2020	J	`jnl`	The perceptual boost of visual attention is task-dependent in naturalistic settings. CoRR Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love