David Janz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
6
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Sharp analysis of linear ensemble sampling. | David Janz, Arya Akhavan, Csaba Szepesvri |
| 2025 | ALT | When and why randomised exploration works (in linear bandits). | Marc Abeille, David Janz, Ciara Pike-Burke |
| 2024 | AISTATS | Exploration via linearly perturbed loss minimisation. | David Janz, Shuai Liu, Alex Ayoub, Csaba Szepesvri |
| 2024 | ICLR | Stochastic Gradient Descent for Gaussian Processes Done Right. | Jihao Andreas Lin, Shreyas Padhy, Javier Antorn, Austin Tripp, Alexander Terenin, Csaba Szepesvri, Jos Miguel Hernndez-Lobato, David Janz |
| 2023 | ICLR | Sampling-based inference for large linear models, with application to linearised Laplace. | Javier Antorn, Shreyas Padhy, Riccardo Barbano, Eric T. Nalisnick, David Janz, Jos Miguel Hernndez-Lobato |
| 2022 | ICML | Adapting the Linearised Laplace Model Evidence for Modern Deep Learning. | Javier Antorn, David Janz, James Urquhart Allingham, Erik A. Daxberger, Riccardo Barbano, Eric T. Nalisnick, Jos Miguel Hernndez-Lobato |
| 2020 | AISTATS | Bandit optimisation of functions in the Matrn kernel RKHS. | David Janz, David R. Burt, Javier Gonzlez |
| 2019 | ICRA | Learning to Drive in a Day. | Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah |
| 2018 | ICLR | Learning a Generative Model for Validity in Complex Discrete Structures. | David Janz, Jos van der Westhuizen, Brooks Paige, Matt J. Kusner, Jos Miguel Hernndez-Lobato |