Barnes, Matt

9 publications

NeurIPS 2024 Imitating Language via Scalable Inverse Reinforcement Learning Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin Riedmiller

ICLR 2024 Massively Scalable Inverse Reinforcement Learning in Google Maps Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion

NeurIPSW 2023 Heterogeneous LoRA for Federated Fine-Tuning of On-Device Foundation Models Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Matt Barnes, Gauri Joshi

NeurIPSW 2023 Massively Scalable Inverse Reinforcement Learning in Google Maps Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion

NeurIPS 2019 Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation Samuel Ainsworth, Matt Barnes, Siddhartha Srinivasa

AISTATS 2019 On the Interaction Effects Between Prediction and Clustering Matt Barnes, Artur Dubrawski

AISTATS 2017 Performance Bounds for Graphical Record Linkage Rebecca C. Steorts, Matt Barnes, Willie Neiswanger

UAI 2017 The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters Matt Barnes, Artur Dubrawski

AAAI 2015 Leveraging Common Structure to Improve Prediction Across Related Datasets Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski