David Janz

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Przemysław MazurDPhil student of Pure Mathematics, University of OxfordVerified email at maths.ox.ac.uk
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Brooks PaigeAssociate Professor, University College LondonVerified email at ucl.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Javier AntoranUniversity of CambridgeVerified email at cam.ac.uk
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Jiri HronPhD student, University of CambridgeVerified email at cam.ac.uk
Javier GonzálezMicrosoft Research CambridgeVerified email at microsoft.com
David R. BurtMassachusetts Institute of TechnologyVerified email at mit.edu
Matt J. KusnerAssociate Professor, University College LondonVerified email at ucl.ac.uk
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Tom RainforthFlorence Nightingale Bicentennial Fellow, University of OxfordVerified email at stats.ox.ac.uk
Jan-Willem van de MeentUniversity of Amsterdam and Northeastern UniversityVerified email at uva.nl

David Janz

University of Alberta

Verified email at cam.ac.uk - Homepage

Multi-Armed Bandits Reinforcement Learning Uncertainty Quantification


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Learning to Drive in a Day A Kendall, J Hawke, D Janz, P Mazur, D Reda, JM Allen, VD Lam, ... International Conference on Robotics and Automation (ICRA), 2019	529	2019
The automatic statistician C Steinruecken, E Smith, D Janz, J Lloyd, Z Ghahramani Automated machine learning: Methods, systems, challenges, 161-173, 2019	63	2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning D Janz, J Hron, JM Hernández-Lobato, K Hofmann, S Tschiatschek Conference on Neural Information Processing Systems (NeurIPS), 2019	47	2019
Bandit optimisation of functions in the Matérn kernel RKHS D Janz, DR Burt, J González International Conference on Artificial Intelligence and Statistics (AISTATS), 2020	32	2020
Actively learning what makes a discrete sequence valid D Janz, J van der Westhuizen, JM Hernández-Lobato Principled Approaches to Deep Learning, 2017	22	2017
Learning a Generative Model for Validity in Complex Discrete Structures D Janz, J van der Westhuizen, B Paige, MJ Kusner, ... International Conference on Learning Representations (ICLR), 2018	21	2018
Probabilistic structure discovery in time series data D Janz, B Paige, T Rainforth, JW van de Meent, F Wood Artificial Intelligence for Data Science, NIPS Workshop, 2016	9	2016
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning J Antorán, D Janz, JU Allingham, E Daxberger, R Barbano, E Nalisnick, ... International Conference on Machine Learning (ICML), 2022	8	2022
Linearised Laplace Inference in Networks with Normalisation Layers and the Neural g-Prior J Antoran, JU Allingham, D Janz, E Daxberger, E Nalisnick, ... Fourth Symposium on Advances in Approximate Bayesian Inference (AABI), 2021	4	2021
Sampling-based inference for large linear models, with application to linearised Laplace J Antorán, S Padhy, R Barbano, E Nalisnick, D Janz, ... International Conference on Representation Learning (ICLR), 2023		2023
Sequential decision making with feature-linear models D Janz University of Cambridge, 2022		2022

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