Key, Oscar

9 publications

JMLR 2025 Composite Goodness-of-Fit Tests with Kernels Oscar Key, Arthur Gretton, François-Xavier Briol, Tamara Fernandez

NeurIPSW 2024 Approximate Top-K for Increased Parallelism Oscar Key, Luka Ribar, Alberto Cattaneo, Luke Hudlass-Galley, Douglas Orr

NeurIPSW 2023 Local LoRA: Memory-Efficient Fine-Tuning of Large Language Models Oscar Key, Jean Kaddour, Pasquale Minervini

NeurIPS 2023 No Train No Gain: Revisiting Efficient Training Algorithms for Transformer-Based Language Models Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J Kusner

ICML 2023 Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol

JMLR 2022 Interlocking Backpropagation: Improving Depthwise Model-Parallelism Aidan N. Gomez, Oscar Key, Kuba Perlin, Stephen Gou, Nick Frosst, Jeff Dean, Yarin Gal

NeurIPSW 2022 Towards Healing the Blindness of Score Matching Mingtian Zhang, Oscar Key, Peter Hayes, David Barber, Brooks Paige, Francois-Xavier Briol

AISTATS 2021 Generating Interpretable Counterfactual Explanations by Implicit Minimisation of Epistemic and Aleatoric Uncertainties Lisa Schut, Oscar Key, Rory Mc Grath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal

ICML 2021 On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes Tim G. J. Rudner, Oscar Key, Yarin Gal, Tom Rainforth